US9025077B2 - Geometrically distorted luminance in a multi-lens camera - Google Patents

Geometrically distorted luminance in a multi-lens camera Download PDF

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US9025077B2
US9025077B2 US13/881,118 US201113881118A US9025077B2 US 9025077 B2 US9025077 B2 US 9025077B2 US 201113881118 A US201113881118 A US 201113881118A US 9025077 B2 US9025077 B2 US 9025077B2
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lens
light
image
view
field
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Ziv Attar
Chen Aharon-Attar
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Apple Inc
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Linx Computational Imaging Ltd
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    • H04N5/2621Cameras specially adapted for the electronic generation of special effects during image pickup, e.g. digital cameras, camcorders, video cameras having integrated special effects capability
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    • H04N25/13Arrangement of colour filter arrays [CFA]; Filter mosaics characterised by the spectral characteristics of the filter elements
    • H04N25/134Arrangement of colour filter arrays [CFA]; Filter mosaics characterised by the spectral characteristics of the filter elements based on three different wavelength filter elements

Definitions

  • This disclosure relates to a camera system, and more specifically, to a camera system with multiple lenses, each configured to capture geometrically-distorted image data of a portion of a field of view for use in generating images.
  • An imaging system typically consists of an imaging lens and an image sensor.
  • An imaging lens collects light emitted or reflected from objects in a scene and directs collected light upon the image sensor.
  • An image sensor is a photosensitive device that converts light incident upon the image sensor during an image capture to an electronic signal representative of the captured light.
  • a color filter array (such as a Bayer filter) is used in conjunction with the image sensor to separate between different spectral regions of the total light spectrum of the image being captured. Color filter arrays separate captured light into (for instance) green image planes, red image planes, and blue image planes.
  • the focal length of a lens can be calculated.
  • the size of the aperture of the lens can be set according to image sensor's photo sensitivity, exposure time, and noise level tolerance.
  • the focal length divided by the aperture's size is called the “F-number,” and indicates the ability of the lens to collect light. Lower F-Numbers are associated with more light being collected by the lens and directed upon the image sensor.
  • a phenomena caused by the use of color filter arrays is the appearance of color artifacts also caused by the spatial disposition of the different colors. For example, in a captured image of a white line 1 pixel deep on a black background, the white line will appear in various colors depending on the position of the light from the line incident upon the image sensor. Multi-lens systems can be implemented to reduce such artifacts, but can be accompanied by issues of increased system cost and complexity.
  • FIG. (or “FIG.”) 1 illustrates a side view of a single lens camera, according to one example embodiment.
  • FIG. 2 illustrates a color filter array having multiple pixels, according to one example embodiment.
  • FIG. 3 illustrates a side view of a three lens camera having one image sensor and three lenses, according to one example embodiment.
  • FIG. 4 illustrates an example of a scene as projected on to an image sensor, according to one example embodiment.
  • FIG. 5 illustrates a front view of a three lens camera using one rectangular image sensor divided in to three regions, according to one example embodiment.
  • FIG. 6 illustrates a front view of a three lens camera having one image sensor, one large lens and two smaller lenses, according to one example embodiment.
  • FIG. 7 illustrates a front view of a four lens camera having a one image sensor and four lenses, according to one example embodiment.
  • FIG. 8 illustrates a 16 lens camera having four regions, each containing four lenses as illustrated in FIG. 7 , according to one example embodiment.
  • FIG. 9 illustrates the focal length variation as a function of field of view for a three lens camera system, according to one example embodiment.
  • FIG. 10 illustrates the focal length variation as a function of field of view for a two lens camera system, according to one example embodiment.
  • FIG. 11 illustrates an embodiment of a section of a multi-lens digital camera, according to one example embodiment.
  • FIG. 12 illustrates an exploded view of the individual camera components shown in FIG. 11 , according to one example embodiment.
  • FIG. 13A illustrates individual lens elements in a 2 ⁇ 2 lens array, according to one example embodiment.
  • FIG. 13B illustrates a top view of the 2 ⁇ 2 lens array shown in FIG. 13A , according to one example embodiment.
  • FIG. 14A illustrates one lens element in a 2 ⁇ 2 lens array integrated lens element, according to one example embodiment.
  • FIG. 14B illustrates a top view of the integrated 2 ⁇ 2 lens array shown in FIG. 14A , according to one example embodiment.
  • FIGS. 15A , 16 A, 17 A, 18 , and 19 illustrate various multi-lens arrays, according to one example embodiment.
  • FIGS. 15B , 16 B, and 17 B illustrate image sensors for use with the multi-lens arrays of FIGS. 15A , 16 A, and 17 A, respectively, according to one example embodiment.
  • FIGS. 20 , 21 , 22 , and 23 illustrate multi-lens camera components, according to one example embodiment.
  • a multi-lens camera system can improve image luminance by, for each lens, magnifying light collected from a portion of a field of view and directed onto an image sensor.
  • the lens can magnify light collection from a portion of the field of view based on a geometric distortion that defines a light magnification or focal length variation by field of view portion or location.
  • the image sensor captures an image from each lens, and combines the luminance information resulting from the magnified portions of the field of view to produce combined luminance information for a final image.
  • Each lens in such a camera system is associated with a different portion of a field of view, and each portion of the field of view is represented by at least one lens.
  • multi-lens digital camera or “multi-aperture digital camera” as used herein refers to a camera including more than one lens, each with an aperture and various lens elements. Thus, instead of using a single lens to capture luminance information for a field of view, several smaller lenses can be used, each capturing a magnified portion of the field of view.
  • the multi-lens camera system described herein can overcome the loss of effective resolution originating from the use of multiple lower resolution lenses (as opposed to one higher resolution lens).
  • the multi-lens camera system can improve image spatial resolution using a multi lens digital camera, each lens having a different geometric distortion as a function of field of view.
  • Each lens in the multi-lens camera system forms an initial image at a different location on the image sensor, and each initial image includes a magnified portion of a field of view.
  • the image sensor then combines the initial image to form a final image.
  • each lens is associated with a different geometric distortion as a function of field of view, and is configured to magnify different parts of the image based on the geometric distortion.
  • a geometric distortion associated with a lens is preferably achieved by various optical properties of the lens, such as the lens shape, the lens thickness, the air space thickness, the lens materials, and the lens aperture dimensions.
  • the multi-lens camera system can include one or more color filters, polarized filters, chromatic filters, and neutral density filters integrated within the system configured to filter collected light prior to capture by the image sensor.
  • Each initial image can have a different light intensity from other initial images.
  • the camera system can include an algorithm for adding initial images to form a final image having higher dynamic range than the initial images.
  • Each lens in the multi-lens camera system can have a different F-Number than the other lenses, and can be focused to a different distance than the other lenses.
  • the multi-lens camera system described herein is configured to: 1. select a magnified portion of each initial image associated with a portion of a field of view, 2. correct the magnified portions of the initial images, and 3. combine the corrected portions of the initial images to form a final image.
  • the final image can have a higher resolution than any of the initial images, thus allowing lower resolution lenses to produce an image of similar quality to a higher resolution lens.
  • the multi-lens camera system described herein is configured to: 1. correct the magnified portions of the initial images, 2. select an area of interest one or more of the corrected images corresponding to the magnified portions of the initial images, 3. combine the initial image luminance information of the selected areas of interest to form final image luminance information, 4. combine the initial image chrominance information to form final image chrominance information, and 5. combining the final image luminance information and the final image chrominance information to form a final image.
  • Each magnified portion of an initial image can be of a higher resolution than the remainder of the initial image.
  • the final image luminance information can be a luminance matrix including the luminance information of each selected area of interest of the corrected images.
  • the final image chrominance information can be a chrominance matrix including the chrominance information of each corrected image. Accordingly, the final image can be created by combining the luminance matrix and the chrominance matrix. It should be noted that the methods described herein can additionally include upscaling the initial images, for instance before or after the magnified portions of the initial images are corrected.
  • the camera system described herein is configured to: 1. correct the geometric distortion of initial images captured from one or more lenses, 2. select an area of interest corresponding to a geometrically distorted portion of at least two initial images, 3. create final image luminance information based on the selected areas of interest, 4. create final image chrominance information from at least two corrected initial images captured with different chromatic filters, and 5. combine the final image luminance information and the final image chrominance information to form a final image.
  • This and other methods described herein can beneficially correct for low light performance of one or more lens in the camera system.
  • the final image luminance information described herein can have a higher signal to noise ratio than the initial image luminance information of one or more initial images.
  • the camera system described herein is configured to: 1. determine an amount of light in a scene, 2. select a source of luminance for one or more portions of the final image based on the determined amount of light, and 3. selecting areas of interest of initial images as described herein based on the selected sources of luminance.
  • Such a method allows for the dynamic selection of the source of luminance for a given final image portion, and as such improves the signal to noise ratio of the final image in low lighting conditions.
  • the amount of light in a scene can be calculated by using the exposure time and the pixels signal values associated with one or more initial images.
  • the camera system described herein is configured to: 1. select a portion of a field of view, 2. select a source of luminance for the selected portion of the field of view from a plurality of initial images captured by a plurality of lenses, and 3. creating final image luminance information based at least in part on the selected source of luminance as described herein.
  • the methods described herein can result in a higher resolution monochrome image than a monochrome image captured by an individual lens of the multi-lens camera system described herein.
  • the source of luminance can be selected between a broader spectrally filtered initial image that may be corrected for distortion and a chromatically filtered initial image that may be corrected for distortion.
  • each lens can form an initial image that is smaller than the size of the one or more image sensors.
  • the resulting initial images can have a lower effective resolution than an image captured by a larger lens with a higher effective resolution.
  • each lens can include an integrated optical barrier for blocking light.
  • Such barriers can be created using, for example, a dicing technique, powder blasting, etching, or scoring techniques. Canals can be created lens optical elements using, for example, dicing techniques.
  • the barriers are created within or on top of an image sensor cover substrate.
  • Optical wafers can have multiple integrated barriers or canals that can be filled with optical absorbing material.
  • the wafer can have multiple canals with surfaces that are coated with absorbing coating. It is also possible to coat different locations on the wafer surface, the coatings at each location configured to transmit a different light spectrum, especially where each location on the wafer is associated with the arrangement of sub images.
  • the multi-lens camera systems described herein can also include two or more lenses wherein each lens comprises one or more optical elements where some or all have a non circular aperture allowing a decrease in distances between the lenses.
  • the largest lens element in each lens has a footprint which is smaller than the size of the image sensor area that is used to collect the light passing through the same lens.
  • some optical elements have a non circular aperture and others have a circular aperture.
  • the multi-lens camera systems described herein beneficially allow for increasing the effective resolution of a multi aperture camera without the need of using a sensor with more pixels.
  • the present system thus relates to the use of a multi aperture digital camera having at least two different transfer functions, as a function of field, of lenses of the different imaging channels for improving image spatial resolution.
  • the multi-lens camera system relates to the use of a multi aperture digital camera having at least two different transfer functions, as a function of field, of lenses of the different imaging channels for improving low light imaging performance.
  • each lens and the area of the sensor in which the lens forms an image on can be referred to as an imaging channel.
  • the digital camera is composed of two or more imaging channels where the imaging lens of each channel can be different than the imaging lens of other channels.
  • the focal length of a lens is defined by the distance in which the lens will form an image of an object that is positioned at infinity.
  • the lens F-Number is defined as the focal length divided by the entrance pupil diameter which is set by the lens aperture.
  • the maximal achievable modulation transfer function of a lens with a given F-Number is limited by the diffraction effect.
  • An ideal lens can have constant magnification and focal length across its field of view, but an actual lens typically demonstrates optical distortion (defined as a change of magnification across the field of view of the lens).
  • the focal length is typically defined for the center of the field of view, which can be referred to as ‘on-axis’.
  • Lenses that are rotational symmetric can demonstrate a distortion graph that is symmetric around the optical axis of the lens.
  • Positive distortion at a certain region of the field of view indicates that the focal length at this region is higher than it is at the center of the field of view.
  • negative distortion at a certain region of the field of view indicates that the focal length at the said region is shorter than at the center of the field of view.
  • Each lens of a multi-lens camera system can include a different chromatic filter, or no chromatic filter.
  • Each lens can be designed to have a longer focal length for a portion of the field of view.
  • Using a special algorithm for combining the details captured by all or some of the lenses and their corresponding distorted portions of the field of view can result in a digital image of the field of view with high resolution over the field of view.
  • the multi-lens camera system described herein can produce a high-resolution final image that composed by extracting portions of initial images corresponding to distorted initial image portions from different lenses.
  • the final image can be a monochrome image. Converting this image into a color image can require the extraction of chrominance information for each pixel or pixel groups from some or all of initial images.
  • the system and method described herein provide high quality imaging while considerably reducing the length of the camera as compared to other systems and methods.
  • FIG. 1 illustrates a side view of a single lens camera having a single lens ( 102 ) that can include one or more elements and a single sensor ( 101 ).
  • FIG. 2 illustrates a sensor array ( 201 ) having multiple pixels where the position of the green filter, red filter and blue filter are marked by ( 202 ), ( 203 ) and ( 204 ) respectively. The image that will be taken using this configuration needs to be processed in order to separate the green, red and blue images.
  • FIG. 3 illustrates a side view of a three lens camera having one sensor ( 310 ) and three lenses ( 301 ), ( 302 ) and ( 303 ). Each one of the said lens will project the image of the same scene on to segments of the sensor marked by ( 311 ), ( 312 ), and ( 313 ) respectively. Each one of the three lenses will have different color filters integrated within the lens, in front of it or between the lens and sensor ( 310 ). Using the described configuration the image acquired by the sensor will be composed of two or more smaller images, each imaging information from the scene at different spectrums.
  • FIG. 4 illustrates an example of a scene as projected on to the sensor ( 401 ), in each region of the sensor ( 402 ), ( 403 ) and ( 404 ) the same scene is projected but each region will contain information for light at different wavelengths representing different colors according to the filters integrated within the lens that forms the image on each region.
  • the described configuration does not require the use of a color filter array and therefore the maximal spatial frequency that can be resolved by the sensor can be higher.
  • using smaller lens and smaller active area per channel can result in a smaller focal length of the lens. Therefore, the spatial resolution of objects can be decreased, and the maximal resolvable resolution for each color can remain the same.
  • the image acquired by the sensor is composed of two or more smaller images, each containing information of the same scene but in different colors.
  • the complete image is then processed and separated in to 3 or more smaller images and combined together to one large color image.
  • Using a fourth lens in addition to the three used for each color red, green and blue (or other colors) with a broad spectral transmission can allow extension of the sensor's dynamic range and can improve the signal-to-noise performance of the camera in low light conditions.
  • All configurations described above using a fourth lens element can be applied to configurations having two or more lenses.
  • Another configuration uses two or more lenses with one sensor having a color filter array integrated or on top of the sensor such as a Bayer filter array.
  • a color filter array integrated or on top of the sensor such as a Bayer filter array.
  • no color filter will be integrated in to each lens channel and all lenses will create a color image on the sensor region corresponding to the specific lens.
  • the resulting image will be processed to form one large image combining the two or more color images that are projected on to the sensor.
  • Dividing the sensor's active area in to 3 areas, one for each of red, green, and blue (for example), can be achieved by placing 3 lenses as illustrated in the figures.
  • the resulting image will include 3 small images containing information of the same scene in a different color.
  • FIG. 5 illustrates a front view of a three lens camera using one rectangular sensor ( 500 ) divided in to three regions ( 501 ), ( 502 ) and ( 503 ).
  • the three lenses ( 511 ), ( 512 ) and ( 513 ) each having different color filters integrated within the lens, in front of the lens or between the lens and the sensor are used to form an image of the same scene but in different colors.
  • each region of the sensor ( 501 ), ( 502 ) and ( 503 ) are rectangular having the longer dimension of the rectangle perpendicular to the long dimension of the complete sensor.
  • FIG. 6 illustrates a front view of a three lens camera having one sensor ( 600 ), one large lens ( 613 ) and two smaller lenses ( 611 ) and ( 612 ).
  • the large lens ( 613 ) is used to form an image on the sensor segment marked ( 603 ) while the two smaller lenses form an image on the sensor's segments marked with ( 601 ) and ( 602 ) respectively.
  • the larger lens ( 613 ) can use a green color filter while the two smaller lenses ( 611 ) and ( 612 ) can use a blue and red filter respectively. Other color filters could be used for each lens.
  • a four lens camera includes 4 lenses each having a different color filter integrated within the lens, in front of the lens, or between the lens and the sensor region corresponding to the lens.
  • the color filter used for two lenses can be the same, resulting in a particular color filter appearing twice among the 4 lenses.
  • FIG. 7 illustrates a front view of a four lens camera having one sensor ( 700 ) and four lenses ( 711 ), ( 712 ),( 713 ) and ( 714 ). Each lens forms an image on the corresponding sensor region marked with ( 701 ), ( 702 ),( 703 ) and ( 704 ) respectively.
  • Each one of the lenses will be integrated with a color filter within the lens, in front of the lens, or between the lens and the sensor. All four lenses can be integrated with different color filters, or two of the four lenses can be integrated with the same color filter. For example, two green filters, one blue filter, and one red filter can allow more light collection in the green spectrum.
  • FIG. 8 illustrates a 16 lens camera having 4 regions ( 801 ), ( 802 ), ( 803 ) and ( 804 ), each containing four lenses as illustrated in FIG. 7 .
  • a camera system with 3 imaging channels can have a different color filter integrated within each imaging channel, one for each of red, green, and blue. All imaging channels have the same diagonal field of view.
  • the lenses of the imaging channels were designed to have higher magnification at different areas of the image. The higher magnification is introduced by geometrically distorting portions of the image captured by each lens.
  • FIG. 9 illustrates a graph of focal length in which the magnification of each imaging channels is higher at a part of the field of view.
  • the imaging channel (channel 1 in FIG. 9 ) including a green color filter demonstrates higher magnification at the center of the field of view
  • the imaging channel (channel 2 in FIG. 9 ) including a red color filter demonstrates higher magnification between the central area of the field of view and up to an area close to the corner of the field of view.
  • the imaging channel (channel 3 in FIG. 9 ) including a blue color filter demonstrates higher magnification at the corner of the field of view.
  • FIG. 9 illustrates the focal length variation as a function of field of view for the three lenses of the first embodiment. As seen in the graph at any given field of view at least one imaging channel images the scene with a higher focal (and accordingly, a higher magnification).
  • a luminance matrix is then created according to one of the two methods:
  • a chrominance matrix is also created using the distortion-corrected and upscaled images of the three imaging channels.
  • the luminance and chrominance matrix contain sufficient information as a color image. Converting the luminance and chrominance into other image formats such as RGB, YUV or any other known format is not described here but is a well known procedure.
  • a camera system with 4 imaging channels can have a different color filter integrated within each imaging channel, one for each of red, green, blue, and white.
  • the white color filter has a wider spectral transmission compared to the other colors. All imaging channels have the same diagonal field of view.
  • the lenses of the imaging channels that include the red, green, and blue filters were designed to have higher magnification at a different area of the image. The higher magnification is introduced by geometrically distorting portions of the image captured by each lens.
  • FIG. 9 illustrates a graph of focal length in which the magnification of each imaging channels is higher at a part of the field of view.
  • the white channel can have very little or no distortion resulting in a uniform magnification as a function of field of view.
  • the imaging channel (channel 1 in FIG. 9 ) including a green color filter demonstrates higher magnification at the center of the field of view.
  • the imaging channel (channel 2 in FIG. 9 ) including a red color filter demonstrates higher magnification between the central area of the field of view and the area close to the corners of the field of view.
  • the imaging channel (channel 3 in FIG. 9 ) including a blue color filter demonstrates higher magnification at the corners of the field of view.
  • FIG. 9 illustrates the focal length variation as a function of field of view for the three lenses of the first embodiment. As seen in the graph at any given field of view at least one imaging channel images the scene with a higher focal length (and accordingly, a higher magnification).
  • a luminance matrix is then created according to one of the two methods:
  • a smart algorithm can choose to use one of the above three methods for computing the luminance matrix by determining the amount of light in a scene.
  • the amount of light can be estimated by the exposure time and the signals or average signal in the image of one or more imaging channels.
  • the third method of creating the luminance matrix using the white channel only as this channel will demonstrate a higher signal-to-noise ratio which leads to lower noise in the final image.
  • the decision can be done on a global level or on a pixel or area level allowing the use of information from all four imaging channels for creating the luminance matrix.
  • the luminance of bright areas in the scene will be created using one of the three color channels and luminance at darker areas will be created using information from the white channel.
  • a chrominance matrix is also created using the distortion-corrected upscaled images of the three imaging channels or using the four channels.
  • the luminance and chrominance matrix contain sufficient information as a color image.
  • a camera system with 2 imaging channels can include filters that use the same spectrum.
  • One of the imaging channels can be designed to have higher magnification at the central area of the image and the other imaging channel can be designed to have higher magnification at the peripheral area of the image.
  • the higher magnification is introduced by geometrically distorting portions of the image captured by each lens.
  • FIG. 10 illustrates the focal length variation as a function of field of view for the two lenses of the third embodiment.
  • at any given field of view at least one imaging channel images a scene with a higher focal length and accordingly, higher magnification.
  • a combined image is then created according to one of the two methods:
  • FIG. 11 illustrates an embodiment of a section of multi aperture digital camera, i.e. a lens package 1100 .
  • the lens package 1100 comprises an image capturing element 1101 , e.g. a Charge Coupled imaging Device (CCD) or a CMOS imaging device (the “image sensor” herein).
  • CCD Charge Coupled imaging Device
  • CMOS imaging device the “image sensor” herein.
  • SSIS solid-state image sensor
  • the image capturing element 1101 converts optical images of the subject formed by the lens elements of the lens array 1103 into an image signal (data).
  • the image capturing element 1101 is mounted on a substrate (not shown) and comprises a cover 1102 for protecting the sensor against the environment.
  • the lens array 1103 is housed in a lens holder 104 , and the lens holder 1104 is provided with a cover plate 1105 .
  • the lens holder 1104 has the function of a spacer as well, because the lens array 1103 is supported by the lens holder 1104 . The height of this support determines for a dominant part the distance between the lens array 1103 and the sensor 1101 .
  • the cover plate may include optionally baffle. Light falls into the cover plate 1105 and travels through the lens array 1103 to the sensor 1101 .
  • the individual parts may be bonded by an adhesive layer (not shown).
  • the one or more adhesive layers are rim-shaped, the adhesive material being present outside an area coinciding with the projection of the circumference of the lens elements present in the lens array.
  • FIG. 12 illustrates an exploded view of the individual parts shown in FIG. 11 .
  • FIG. 13A illustrates individual lens elements 1106 in a 2 ⁇ 2 array placed on a sensor 1101 .
  • FIG. 13B illustrates a top view of the 2 ⁇ 2 array shown in FIG. 13A .
  • FIG. 14A illustrates one lens element 1107 in a 2 ⁇ 2 array, i.e. a 2 ⁇ 2 integrated lens element placed on a sensor.
  • FIG. 14B illustrates a top view of the integrated 2 ⁇ 2 array shown in FIG. 14A .
  • the present invention is not restricted to a 2 ⁇ 2 array construction. Any N ⁇ M configuration of lenses can be used as well according to principles described herein.
  • FIGS. 15A , 16 A, and 17 A, 18 , 19 illustrate a construction of different sizes of the lenses 1106 in a lens array.
  • FIGS. 15B , 16 B, and 17 B illustrate the sensors 1101 to be used in connection with the lenses shown in FIGS. 15A , 16 A, and 17 A, respectively.
  • FIG. 20 illustrates another embodiment of a section of multi aperture digital camera, i.e. a lens package 1200 .
  • Individual arrays 1201 , 1202 comprising lens elements are positioned within a housing 1203 , and spacers 1204 , 1205 , 1206 , 1207 are located on the sensor cover 1208 mounted on sensor 1209 .
  • the bonding between the spacers 1204 , 1205 , 1206 , 1207 and the sensor cover 1208 is through an adhesive.
  • An adhesive is also present between the spacers 1204 , 1205 , 1206 , 1207 and the respective arrays 1201 , 1202 .
  • FIG. 21 illustrates another embodiment of a section of multi aperture digital camera, i.e. a lens package 1300 .
  • Individual arrays 1301 , 1302 comprising lens elements are positioned within a housing 1303 , and spacers 1304 , 1305 , 1306 are located on the sensor cover 1307 being mounted on sensor 1308 .
  • the bonding between the spacers 1304 , 1305 , 1306 and the sensor cover 1307 is through an adhesive.
  • An adhesive is also present between the spacers 1304 , 1305 , 1306 and the arrays 1301 , 1302 .
  • the polymer based lens elements are provided on transparant substrates 1309 , 1310 via replication technology.
  • transparant substrates are glass, polymers, quartz, ceramics, sapphire, crystalline alumina, Yttria, yttrium aluminium garnet (YAG).
  • the lens package 1300 also includes light-shielding walls for preventing crosstalk between light beams passing through adjacent lens elements of the lens array 1301 , 1302 .
  • the replicated lenses may be provided with one ore more additional layers, such as color filters, diaphragms, infra red reflecting layers, and anti reflection layers (not shown). These additional layers can be present between the substrates 1309 , 1310 and the lens element replicated thereon.
  • the lens elements of the lens array 1301 , 1302 can have different shapes, thicknesses, air space thicknesses, polymer materials and aperture dimensions.
  • FIG. 22 illustrates another embodiment of a section of multi aperture digital camera, i.e. a lens package 1400 .
  • Array 1401 comprising lens elements is positioned within a housing 1402 , and spacers 1403 , 1404 , 1405 are located on the sensor cover 1406 being mounted on sensor 1407 .
  • the bonding between the spacers 1403 , 1404 , 1405 and the sensor cover 1406 is through an adhesive.
  • An adhesive is also present between the spacers 1403 , 1404 , 1405 and the array 1401 .
  • FIG. 23 illustrates another embodiment of a section of multi aperture digital camera, i.e. a lens package 1500 .
  • Array 1501 comprising lens elements is positioned within a housing 1502 , and spacers 1503 , 1504 , 1505 are located on the sensor cover 1506 being mounted on sensor 1507 .
  • the bonding between the spacers 1503 , 1504 , 1505 and the sensor cover 1506 is through an adhesive.
  • An adhesive is also present between the spacers 1503 , 1504 , 1505 and the array 1501 .
  • the polymer based lens elements are provided on transparant substrates 1508 , 1509 via replication technology. Examples of transparant substrates are glass, polymers, quartz, ceramics, sapphire, crystalline alumina, Yttria, yttrium aluminium garnet (YAG).
  • the replica layer used in the present system can be composed of a UV curable polymer, selected from the group of polycarbonates, polystyrenes, poly(meth)acrylates, polyurethanes, polyamids, polyimide, polyethers, polyepoxides and polyesters.
  • a replica layer is obtained by using a replication method in which use is made of a mould having a precisely defined surface, for example an aspherical surface, wherein a small amount of a radiation-curable resin, for example a UV curable resin, is applied to the mould surface.
  • the resin is spread over the mould surface, so that the cavities present in the mould are filled with the resin, whereupon the whole is subsequently irradiated for curing the resin and the thus cured product is removed from the mould.
  • the cured product is a negative of the mould surface.
  • Suitable UV curable compositions are: polycarbonates, including diethylene glycolbis-(allyl)carbonate, polystyrenes, including polychlorine styrene, polyacrylates, such as poly(trifluoroethyl methacrylate), poly(isobutyl methacrylate), poly(methylacrylate), poly(methyl methacrylate), poly(alphamethyl bromium acrylate), poly(methacrylic acid)-2,3-dibromium propylpoly(phenyl methacrylate poly(pentachlorine phenyl-methacrylate polymer), polyester compounds such as diallylphthalate, poly(vinyl-benzoate), poly(vinylnaphthalene), poly(vinylcarbazole) and silicones in the form of various types of resin materials, as well as acrylic resin, urethane resin, epoxy resin, enthiol resin or thiourethane resin or photopolymer.
  • polyacrylates such as poly(triflu
  • Exposure preferably takes place with an intensity of between 100 en 2000 W/cm ⁇ 2>, in particular 700 W/cm ⁇ 2>, and a dose of 1-15 J/cm ⁇ 2>, in particular 7 J/cm ⁇ 2>, a wavelength in the 320-400 nm range and an exposure time of 1-60 seconds, in particular 10 seconds.
  • Suitable UV curable adhesive compositions include GAFGARD233 (marketed by DuPont, type vinylpyrrolidone), Norland Inc. NOA-61, NOA-63, NOA-65, Three bond AVR-100 and Sony Chemical UV-1003, possibly provided with the usual additives such as initiators, reactive or nonreactive dilutants, crosslinking agents, fillers, pigments and anti-shrinkage agents.
  • Spacers mentioned in the Figs. are made of a rigid material, for example glass, silicon or a composite material such as FR4.
  • the spacer plate is so configured that it will not interfere with the light path through the two separate lens elements,
  • the spacer plate comprises an opening which is positioned coaxially with a main optical axis of the lens element in question, whilst in a special embodiment the side of said opening is provided with an anti-reflective coating.
  • the color filters, Infrared blocking filters, apertures and antireflection coatings on the substrates or lens surfaces can be manufactured according to well known industrial processes, like coating processes chemical vapor deposition, physical vapor deposition.
  • optical elements can be manufactured through injection molding, glass molding of a thermoplast, or by pressing a glass preshape in a single cavity or plural cavity mold.
  • Coupled along with its derivatives.
  • the term “coupled” as used herein is not necessarily limited to two or more elements being in direct physical or electrical contact. Rather, the term “coupled” may also encompass two or more elements are not in direct contact with each other, but yet still co-operate or interact with each other, or are structured to provide a thermal conduction path between the elements.
  • the terms “comprises,” “comprising,” “includes,” “including,” “has,” “having” or any other variation thereof, are intended to cover a non-exclusive inclusion.
  • a process, method, article, or apparatus that comprises a list of elements is not necessarily limited to only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
  • any reference to “one embodiment” or “an embodiment” means that a particular element, feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment.
  • the appearances of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment.

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Abstract

Spatial resolution can be improved in multi-lens digital cameras. Each lens can have the same or similar field of view, but can be associated with different geometric distortions defining, for example, a magnification at various field of view portions. A final image can be generated based on an initial image captured by each lens. Luminance information from the magnified portions of the initial images can be combined to form final image luminance information. Chrominance information from the initial images can be combined to form final image chrominance information. The final image can be generated based on the final image luminance information and the final image chrominance information.

Description

CROSS REFERENCE TO RELATED APPLICATIONS
This application is a national phase application of PCT/NL2011/050723, entitled “System and Method for Imaging Using Multi Aperture Camera,” filed on Oct. 24, 2011, which in turn claims priority to U.S. Provisional Application No. 61/406,148, filed on Oct. 24, 2010, the contents of which are all hereby incorporated by reference in their entirety.
BACKGROUND
1. Technical Field
This disclosure relates to a camera system, and more specifically, to a camera system with multiple lenses, each configured to capture geometrically-distorted image data of a portion of a field of view for use in generating images.
2. Description of the Related Art
An imaging system typically consists of an imaging lens and an image sensor. An imaging lens collects light emitted or reflected from objects in a scene and directs collected light upon the image sensor. An image sensor is a photosensitive device that converts light incident upon the image sensor during an image capture to an electronic signal representative of the captured light. To obtain color image data, a color filter array (such as a Bayer filter) is used in conjunction with the image sensor to separate between different spectral regions of the total light spectrum of the image being captured. Color filter arrays separate captured light into (for instance) green image planes, red image planes, and blue image planes.
Given an image sensor's active area dimension (the image sensor's “format”) and the desired field of view, the focal length of a lens can be calculated. The size of the aperture of the lens can be set according to image sensor's photo sensitivity, exposure time, and noise level tolerance. The focal length divided by the aperture's size is called the “F-number,” and indicates the ability of the lens to collect light. Lower F-Numbers are associated with more light being collected by the lens and directed upon the image sensor.
A phenomena caused by the use of color filter arrays is the appearance of color artifacts also caused by the spatial disposition of the different colors. For example, in a captured image of a white line 1 pixel deep on a black background, the white line will appear in various colors depending on the position of the light from the line incident upon the image sensor. Multi-lens systems can be implemented to reduce such artifacts, but can be accompanied by issues of increased system cost and complexity.
BRIEF DESCRIPTION OF THE DRAWINGS
The disclosed embodiments have other advantages and features which will be more readily apparent from the following detailed description of the invention and the appended claims, when taken in conjunction with the accompanying drawings, in which:
FIG. (or “FIG.”) 1 illustrates a side view of a single lens camera, according to one example embodiment.
FIG. 2 illustrates a color filter array having multiple pixels, according to one example embodiment.
FIG. 3 illustrates a side view of a three lens camera having one image sensor and three lenses, according to one example embodiment.
FIG. 4 illustrates an example of a scene as projected on to an image sensor, according to one example embodiment.
FIG. 5 illustrates a front view of a three lens camera using one rectangular image sensor divided in to three regions, according to one example embodiment.
FIG. 6 illustrates a front view of a three lens camera having one image sensor, one large lens and two smaller lenses, according to one example embodiment.
FIG. 7 illustrates a front view of a four lens camera having a one image sensor and four lenses, according to one example embodiment.
FIG. 8 illustrates a 16 lens camera having four regions, each containing four lenses as illustrated in FIG. 7, according to one example embodiment.
FIG. 9 illustrates the focal length variation as a function of field of view for a three lens camera system, according to one example embodiment.
FIG. 10 illustrates the focal length variation as a function of field of view for a two lens camera system, according to one example embodiment.
FIG. 11 illustrates an embodiment of a section of a multi-lens digital camera, according to one example embodiment.
FIG. 12 illustrates an exploded view of the individual camera components shown in FIG. 11, according to one example embodiment.
FIG. 13A illustrates individual lens elements in a 2×2 lens array, according to one example embodiment.
FIG. 13B illustrates a top view of the 2×2 lens array shown in FIG. 13A, according to one example embodiment.
FIG. 14A illustrates one lens element in a 2×2 lens array integrated lens element, according to one example embodiment.
FIG. 14B illustrates a top view of the integrated 2×2 lens array shown in FIG. 14A, according to one example embodiment.
FIGS. 15A, 16A, 17A, 18, and 19 illustrate various multi-lens arrays, according to one example embodiment.
FIGS. 15B, 16B, and 17B illustrate image sensors for use with the multi-lens arrays of FIGS. 15A, 16A, and 17A, respectively, according to one example embodiment.
FIGS. 20, 21, 22, and 23 illustrate multi-lens camera components, according to one example embodiment.
DETAILED DESCRIPTION
The figures and the following description relate to preferred embodiments by way of illustration only. It should be noted that from the following discussion, alternative embodiments of the structures and methods disclosed herein will be readily recognized as viable alternatives that may be employed without departing from the principles of what is claimed.
Reference will now be made in detail to several embodiments, examples of which are illustrated in the accompanying figures. It is noted that wherever practicable similar or like reference numbers may be used in the figures and may indicate similar or like functionality. The figures depict embodiments of the disclosed system (or method) for purposes of illustration only. One skilled in the art will readily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles described herein.
A multi-lens camera system can improve image luminance by, for each lens, magnifying light collected from a portion of a field of view and directed onto an image sensor. The lens can magnify light collection from a portion of the field of view based on a geometric distortion that defines a light magnification or focal length variation by field of view portion or location. The image sensor captures an image from each lens, and combines the luminance information resulting from the magnified portions of the field of view to produce combined luminance information for a final image. Each lens in such a camera system is associated with a different portion of a field of view, and each portion of the field of view is represented by at least one lens. The term “multi-lens digital camera” or “multi-aperture digital camera” as used herein refers to a camera including more than one lens, each with an aperture and various lens elements. Thus, instead of using a single lens to capture luminance information for a field of view, several smaller lenses can be used, each capturing a magnified portion of the field of view.
Geometrically Distorted Luminance Overview
The multi-lens camera system described herein can overcome the loss of effective resolution originating from the use of multiple lower resolution lenses (as opposed to one higher resolution lens). The multi-lens camera system can improve image spatial resolution using a multi lens digital camera, each lens having a different geometric distortion as a function of field of view. Each lens in the multi-lens camera system forms an initial image at a different location on the image sensor, and each initial image includes a magnified portion of a field of view. The image sensor then combines the initial image to form a final image.
In one embodiment, each lens is associated with a different geometric distortion as a function of field of view, and is configured to magnify different parts of the image based on the geometric distortion. A geometric distortion associated with a lens is preferably achieved by various optical properties of the lens, such as the lens shape, the lens thickness, the air space thickness, the lens materials, and the lens aperture dimensions.
The multi-lens camera system can include one or more color filters, polarized filters, chromatic filters, and neutral density filters integrated within the system configured to filter collected light prior to capture by the image sensor. Each initial image can have a different light intensity from other initial images. The camera system can include an algorithm for adding initial images to form a final image having higher dynamic range than the initial images. Each lens in the multi-lens camera system can have a different F-Number than the other lenses, and can be focused to a different distance than the other lenses.
In one embodiment, the multi-lens camera system described herein is configured to: 1. select a magnified portion of each initial image associated with a portion of a field of view, 2. correct the magnified portions of the initial images, and 3. combine the corrected portions of the initial images to form a final image. The final image can have a higher resolution than any of the initial images, thus allowing lower resolution lenses to produce an image of similar quality to a higher resolution lens.
In one embodiment, the multi-lens camera system described herein is configured to: 1. correct the magnified portions of the initial images, 2. select an area of interest one or more of the corrected images corresponding to the magnified portions of the initial images, 3. combine the initial image luminance information of the selected areas of interest to form final image luminance information, 4. combine the initial image chrominance information to form final image chrominance information, and 5. combining the final image luminance information and the final image chrominance information to form a final image.
Each magnified portion of an initial image can be of a higher resolution than the remainder of the initial image. The final image luminance information can be a luminance matrix including the luminance information of each selected area of interest of the corrected images. The final image chrominance information can be a chrominance matrix including the chrominance information of each corrected image. Accordingly, the final image can be created by combining the luminance matrix and the chrominance matrix. It should be noted that the methods described herein can additionally include upscaling the initial images, for instance before or after the magnified portions of the initial images are corrected.
In one embodiment, the camera system described herein is configured to: 1. correct the geometric distortion of initial images captured from one or more lenses, 2. select an area of interest corresponding to a geometrically distorted portion of at least two initial images, 3. create final image luminance information based on the selected areas of interest, 4. create final image chrominance information from at least two corrected initial images captured with different chromatic filters, and 5. combine the final image luminance information and the final image chrominance information to form a final image. This and other methods described herein can beneficially correct for low light performance of one or more lens in the camera system. The final image luminance information described herein can have a higher signal to noise ratio than the initial image luminance information of one or more initial images.
In one embodiment, the camera system described herein is configured to: 1. determine an amount of light in a scene, 2. select a source of luminance for one or more portions of the final image based on the determined amount of light, and 3. selecting areas of interest of initial images as described herein based on the selected sources of luminance. Such a method allows for the dynamic selection of the source of luminance for a given final image portion, and as such improves the signal to noise ratio of the final image in low lighting conditions. The amount of light in a scene can be calculated by using the exposure time and the pixels signal values associated with one or more initial images.
In one embodiment, the camera system described herein is configured to: 1. select a portion of a field of view, 2. select a source of luminance for the selected portion of the field of view from a plurality of initial images captured by a plurality of lenses, and 3. creating final image luminance information based at least in part on the selected source of luminance as described herein. The methods described herein can result in a higher resolution monochrome image than a monochrome image captured by an individual lens of the multi-lens camera system described herein. The source of luminance can be selected between a broader spectrally filtered initial image that may be corrected for distortion and a chromatically filtered initial image that may be corrected for distortion.
In the multi-lens camera systems described herein, each lens can form an initial image that is smaller than the size of the one or more image sensors. The resulting initial images can have a lower effective resolution than an image captured by a larger lens with a higher effective resolution.
In the multi-lens camera systems described herein, each lens can include an integrated optical barrier for blocking light. Such barriers can be created using, for example, a dicing technique, powder blasting, etching, or scoring techniques. Canals can be created lens optical elements using, for example, dicing techniques. Preferably, the barriers are created within or on top of an image sensor cover substrate.
Optical wafers can have multiple integrated barriers or canals that can be filled with optical absorbing material. The wafer can have multiple canals with surfaces that are coated with absorbing coating. It is also possible to coat different locations on the wafer surface, the coatings at each location configured to transmit a different light spectrum, especially where each location on the wafer is associated with the arrangement of sub images.
The multi-lens camera systems described herein can also include two or more lenses wherein each lens comprises one or more optical elements where some or all have a non circular aperture allowing a decrease in distances between the lenses. The largest lens element in each lens has a footprint which is smaller than the size of the image sensor area that is used to collect the light passing through the same lens. In addition some optical elements have a non circular aperture and others have a circular aperture.
The multi-lens camera systems described herein beneficially allow for increasing the effective resolution of a multi aperture camera without the need of using a sensor with more pixels. The present system thus relates to the use of a multi aperture digital camera having at least two different transfer functions, as a function of field, of lenses of the different imaging channels for improving image spatial resolution.
In one embodiment, the multi-lens camera system relates to the use of a multi aperture digital camera having at least two different transfer functions, as a function of field, of lenses of the different imaging channels for improving low light imaging performance.
In an imaging system containing multi apertures as described above, each lens and the area of the sensor in which the lens forms an image on can be referred to as an imaging channel. The digital camera is composed of two or more imaging channels where the imaging lens of each channel can be different than the imaging lens of other channels.
The focal length of a lens is defined by the distance in which the lens will form an image of an object that is positioned at infinity. The lens F-Number is defined as the focal length divided by the entrance pupil diameter which is set by the lens aperture. The maximal achievable modulation transfer function of a lens with a given F-Number is limited by the diffraction effect.
An ideal lens can have constant magnification and focal length across its field of view, but an actual lens typically demonstrates optical distortion (defined as a change of magnification across the field of view of the lens). For actual lenses with distortion, the focal length is typically defined for the center of the field of view, which can be referred to as ‘on-axis’.
Lenses that are rotational symmetric can demonstrate a distortion graph that is symmetric around the optical axis of the lens. Positive distortion at a certain region of the field of view indicates that the focal length at this region is higher than it is at the center of the field of view. Respectively, negative distortion at a certain region of the field of view indicates that the focal length at the said region is shorter than at the center of the field of view.
Each lens of a multi-lens camera system can include a different chromatic filter, or no chromatic filter. Each lens can be designed to have a longer focal length for a portion of the field of view. Using a special algorithm for combining the details captured by all or some of the lenses and their corresponding distorted portions of the field of view can result in a digital image of the field of view with high resolution over the field of view.
The multi-lens camera system described herein can produce a high-resolution final image that composed by extracting portions of initial images corresponding to distorted initial image portions from different lenses. The final image can be a monochrome image. Converting this image into a color image can require the extraction of chrominance information for each pixel or pixel groups from some or all of initial images.
System Overview
The system and method described herein provide high quality imaging while considerably reducing the length of the camera as compared to other systems and methods.
FIG. 1 illustrates a side view of a single lens camera having a single lens (102) that can include one or more elements and a single sensor (101). FIG. 2 illustrates a sensor array (201) having multiple pixels where the position of the green filter, red filter and blue filter are marked by (202), (203) and (204) respectively. The image that will be taken using this configuration needs to be processed in order to separate the green, red and blue images.
FIG. 3 illustrates a side view of a three lens camera having one sensor (310) and three lenses (301), (302) and (303). Each one of the said lens will project the image of the same scene on to segments of the sensor marked by (311), (312), and (313) respectively. Each one of the three lenses will have different color filters integrated within the lens, in front of it or between the lens and sensor (310). Using the described configuration the image acquired by the sensor will be composed of two or more smaller images, each imaging information from the scene at different spectrums.
FIG. 4 illustrates an example of a scene as projected on to the sensor (401), in each region of the sensor (402), (403) and (404) the same scene is projected but each region will contain information for light at different wavelengths representing different colors according to the filters integrated within the lens that forms the image on each region.
The described configuration does not require the use of a color filter array and therefore the maximal spatial frequency that can be resolved by the sensor can be higher. On the other hand, using smaller lens and smaller active area per channel can result in a smaller focal length of the lens. Therefore, the spatial resolution of objects can be decreased, and the maximal resolvable resolution for each color can remain the same.
The image acquired by the sensor is composed of two or more smaller images, each containing information of the same scene but in different colors. The complete image is then processed and separated in to 3 or more smaller images and combined together to one large color image.
The described method of imaging has many advantages:
    • 1. Shorter lens track (height): Each one of the lenses used can be smaller in size than the single lens covering the same field of view. The total track (height) of each lens can be smaller, allowing the camera to be smaller in height, an important factor for mobile phone cameras, notebook cameras and other applications requiring short optical track.
    • 2. Reduced Color artifacts: Since each color is captured separately, artifacts originating from spatial dependency of each color in a color filter array can be reduced.
    • 3. Lens requirements: Each lens does not have to be optimal for all spectrums used, simplifying the lens design and possibly decreasing the amount of elements used in each lens as no color correction may be needed.
    • 4. Larger Depth of Focus: The depth of focus of a system depends on its focal length. Since smaller lenses are used with smaller focal lengths, the depth of focus is increased by the scale factor, squared.
    • 5. Elimination of focus mechanism: Focus mechanisms can change the distance between the lens and the sensor to compensate for the change in object distance and to assure that the desired distance is in focus during the exposure time. Such a mechanism can be costly and can have many other disadvantages such as increased size, increased power consumption, shutter lag, decreased reliability, and increased price.
Using a fourth lens in addition to the three used for each color red, green and blue (or other colors) with a broad spectral transmission can allow extension of the sensor's dynamic range and can improve the signal-to-noise performance of the camera in low light conditions.
All configurations described above using a fourth lens element can be applied to configurations having two or more lenses.
Another configuration uses two or more lenses with one sensor having a color filter array integrated or on top of the sensor such as a Bayer filter array. In such a configuration no color filter will be integrated in to each lens channel and all lenses will create a color image on the sensor region corresponding to the specific lens. The resulting image will be processed to form one large image combining the two or more color images that are projected on to the sensor.
Dividing the sensor's active area in to 3 areas, one for each of red, green, and blue (for example), can be achieved by placing 3 lenses as illustrated in the figures. The resulting image will include 3 small images containing information of the same scene in a different color.
FIG. 5 illustrates a front view of a three lens camera using one rectangular sensor (500) divided in to three regions (501), (502) and (503). The three lenses (511), (512) and (513) each having different color filters integrated within the lens, in front of the lens or between the lens and the sensor are used to form an image of the same scene but in different colors. In this example each region of the sensor (501), (502) and (503) are rectangular having the longer dimension of the rectangle perpendicular to the long dimension of the complete sensor.
Other three lens configuration can be used, such as using a larger green filtered lens and two smaller lenses for blue and red, such a configuration will results in higher spatial resolution in the green channel since more pixels are being used.
FIG. 6 illustrates a front view of a three lens camera having one sensor (600), one large lens (613) and two smaller lenses (611) and (612). The large lens (613) is used to form an image on the sensor segment marked (603) while the two smaller lenses form an image on the sensor's segments marked with (601) and (602) respectively. The larger lens (613) can use a green color filter while the two smaller lenses (611) and (612) can use a blue and red filter respectively. Other color filters could be used for each lens.
A four lens camera includes 4 lenses each having a different color filter integrated within the lens, in front of the lens, or between the lens and the sensor region corresponding to the lens. The color filter used for two lenses can be the same, resulting in a particular color filter appearing twice among the 4 lenses.
FIG. 7 illustrates a front view of a four lens camera having one sensor (700) and four lenses (711), (712),(713) and (714). Each lens forms an image on the corresponding sensor region marked with (701), (702),(703) and (704) respectively. Each one of the lenses will be integrated with a color filter within the lens, in front of the lens, or between the lens and the sensor. All four lenses can be integrated with different color filters, or two of the four lenses can be integrated with the same color filter. For example, two green filters, one blue filter, and one red filter can allow more light collection in the green spectrum.
FIG. 8 illustrates a 16 lens camera having 4 regions (801), (802), (803) and (804), each containing four lenses as illustrated in FIG. 7.
A camera system with 3 imaging channels can have a different color filter integrated within each imaging channel, one for each of red, green, and blue. All imaging channels have the same diagonal field of view. In this embodiment, the lenses of the imaging channels were designed to have higher magnification at different areas of the image. The higher magnification is introduced by geometrically distorting portions of the image captured by each lens. FIG. 9 illustrates a graph of focal length in which the magnification of each imaging channels is higher at a part of the field of view.
The imaging channel (channel 1 in FIG. 9) including a green color filter demonstrates higher magnification at the center of the field of view, The imaging channel (channel 2 in FIG. 9) including a red color filter demonstrates higher magnification between the central area of the field of view and up to an area close to the corner of the field of view. The imaging channel (channel 3 in FIG. 9) including a blue color filter demonstrates higher magnification at the corner of the field of view.
FIG. 9 illustrates the focal length variation as a function of field of view for the three lenses of the first embodiment. As seen in the graph at any given field of view at least one imaging channel images the scene with a higher focal (and accordingly, a higher magnification).
After capturing images or during image readout, images captured by each lens are corrected for distortion and upscaled by a factor greater than one. A luminance matrix is then created according to one of the two methods:
    • 1. At each area of the final image one or more pixels in size, the source of luminance is chosen from one of the three imaging channels according to a predefined table that for each area selects the source of luminance according to the imaging channel having the highest magnification in the said area, or
    • 2. Comparing sharpness of each area or detail in the three imaging channels and choosing the sharpest one as the source of luminance.
In both cases a chrominance matrix is also created using the distortion-corrected and upscaled images of the three imaging channels.
The luminance and chrominance matrix contain sufficient information as a color image. Converting the luminance and chrominance into other image formats such as RGB, YUV or any other known format is not described here but is a well known procedure.
A camera system with 4 imaging channels can have a different color filter integrated within each imaging channel, one for each of red, green, blue, and white. The white color filter has a wider spectral transmission compared to the other colors. All imaging channels have the same diagonal field of view. In this embodiment, the lenses of the imaging channels that include the red, green, and blue filters were designed to have higher magnification at a different area of the image. The higher magnification is introduced by geometrically distorting portions of the image captured by each lens. FIG. 9 illustrates a graph of focal length in which the magnification of each imaging channels is higher at a part of the field of view. The white channel can have very little or no distortion resulting in a uniform magnification as a function of field of view.
The imaging channel (channel 1 in FIG. 9) including a green color filter demonstrates higher magnification at the center of the field of view. The imaging channel (channel 2 in FIG. 9) including a red color filter demonstrates higher magnification between the central area of the field of view and the area close to the corners of the field of view. The imaging channel (channel 3 in FIG. 9) including a blue color filter demonstrates higher magnification at the corners of the field of view.
FIG. 9 illustrates the focal length variation as a function of field of view for the three lenses of the first embodiment. As seen in the graph at any given field of view at least one imaging channel images the scene with a higher focal length (and accordingly, a higher magnification).
After capturing images or during image readout, images captured by each lens are corrected for distortion and upscaled by a factor of 2. A luminance matrix is then created according to one of the two methods:
    • 1. At each area of the final image that can be one or more pixels in size, the source of luminance is chosen from one of the three imaging channels according to predefined table that for each area selects the source of luminance according to the imaging channel having the highest magnification in the said area, or
    • 2. Comparing the sharpness of each area or detail in the three imaging channels and choosing the sharpest one as the source of luminance, or
    • 3. Using the image of the imaging channel that includes a white channel.
A smart algorithm can choose to use one of the above three methods for computing the luminance matrix by determining the amount of light in a scene. The amount of light can be estimated by the exposure time and the signals or average signal in the image of one or more imaging channels.
In case of low lighting conditions it is preferred to use the third method of creating the luminance matrix using the white channel only as this channel will demonstrate a higher signal-to-noise ratio which leads to lower noise in the final image. The decision can be done on a global level or on a pixel or area level allowing the use of information from all four imaging channels for creating the luminance matrix. In this case the luminance of bright areas in the scene will be created using one of the three color channels and luminance at darker areas will be created using information from the white channel. In both cases a chrominance matrix is also created using the distortion-corrected upscaled images of the three imaging channels or using the four channels. The luminance and chrominance matrix contain sufficient information as a color image.
A camera system with 2 imaging channels can include filters that use the same spectrum. One of the imaging channels can be designed to have higher magnification at the central area of the image and the other imaging channel can be designed to have higher magnification at the peripheral area of the image. The higher magnification is introduced by geometrically distorting portions of the image captured by each lens.
FIG. 10 illustrates the focal length variation as a function of field of view for the two lenses of the third embodiment. As seen in FIG. 10, at any given field of view, at least one imaging channel images a scene with a higher focal length and accordingly, higher magnification.
After capturing the images or during image readout, images captured by each lens are corrected for distortion and upscaled by a factor greater than 1. A combined image is then created according to one of the two methods:
    • 1. At each area of the final image that can be one or more pixels in size, the source image is chosen from one of the two imaging channels according to predefined table that for each area selects the source image according to the imaging channel having the highest magnification in the said area, or
    • 2. Comparing sharpness of each area or detail in the two imaging channels and choosing the sharpest one as the source.
FIG. 11 illustrates an embodiment of a section of multi aperture digital camera, i.e. a lens package 1100. The lens package 1100 comprises an image capturing element 1101, e.g. a Charge Coupled imaging Device (CCD) or a CMOS imaging device (the “image sensor” herein). In general such an image capturing element 1101 is referred to as a solid-state image sensor (SSIS). The image capturing element 1101 converts optical images of the subject formed by the lens elements of the lens array 1103 into an image signal (data). The image capturing element 1101 is mounted on a substrate (not shown) and comprises a cover 1102 for protecting the sensor against the environment. The lens array 1103 is housed in a lens holder 104, and the lens holder 1104 is provided with a cover plate 1105. The lens holder 1104 has the function of a spacer as well, because the lens array 1103 is supported by the lens holder 1104. The height of this support determines for a dominant part the distance between the lens array 1103 and the sensor 1101. The cover plate may include optionally baffle. Light falls into the cover plate 1105 and travels through the lens array 1103 to the sensor 1101. The individual parts may be bonded by an adhesive layer (not shown). Preferably, the one or more adhesive layers are rim-shaped, the adhesive material being present outside an area coinciding with the projection of the circumference of the lens elements present in the lens array.
FIG. 12 illustrates an exploded view of the individual parts shown in FIG. 11.
FIG. 13A illustrates individual lens elements 1106 in a 2×2 array placed on a sensor 1101.
FIG. 13B illustrates a top view of the 2×2 array shown in FIG. 13A.
FIG. 14A illustrates one lens element 1107 in a 2×2 array, i.e. a 2×2 integrated lens element placed on a sensor.
FIG. 14B illustrates a top view of the integrated 2×2 array shown in FIG. 14A.
The present invention is not restricted to a 2×2 array construction. Any N×M configuration of lenses can be used as well according to principles described herein.
FIGS. 15A, 16A, and 17A, 18, 19 illustrate a construction of different sizes of the lenses 1106 in a lens array.
FIGS. 15B, 16B, and 17B illustrate the sensors 1101 to be used in connection with the lenses shown in FIGS. 15A, 16A, and 17A, respectively.
FIG. 20 illustrates another embodiment of a section of multi aperture digital camera, i.e. a lens package 1200. Individual arrays 1201, 1202 comprising lens elements are positioned within a housing 1203, and spacers 1204, 1205, 1206, 1207 are located on the sensor cover 1208 mounted on sensor 1209. The bonding between the spacers 1204, 1205, 1206, 1207 and the sensor cover 1208 is through an adhesive. An adhesive is also present between the spacers 1204, 1205, 1206, 1207 and the respective arrays 1201, 1202.
FIG. 21 illustrates another embodiment of a section of multi aperture digital camera, i.e. a lens package 1300. Individual arrays 1301, 1302 comprising lens elements are positioned within a housing 1303, and spacers 1304, 1305, 1306 are located on the sensor cover 1307 being mounted on sensor 1308. The bonding between the spacers 1304, 1305, 1306 and the sensor cover 1307 is through an adhesive. An adhesive is also present between the spacers 1304, 1305, 1306 and the arrays 1301, 1302. The polymer based lens elements are provided on transparant substrates 1309, 1310 via replication technology. Examples of transparant substrates are glass, polymers, quartz, ceramics, sapphire, crystalline alumina, Yttria, yttrium aluminium garnet (YAG). The lens package 1300 also includes light-shielding walls for preventing crosstalk between light beams passing through adjacent lens elements of the lens array 1301, 1302. The replicated lenses may be provided with one ore more additional layers, such as color filters, diaphragms, infra red reflecting layers, and anti reflection layers (not shown). These additional layers can be present between the substrates 1309, 1310 and the lens element replicated thereon. The lens elements of the lens array 1301, 1302 can have different shapes, thicknesses, air space thicknesses, polymer materials and aperture dimensions.
FIG. 22 illustrates another embodiment of a section of multi aperture digital camera, i.e. a lens package 1400. Array 1401 comprising lens elements is positioned within a housing 1402, and spacers 1403, 1404, 1405 are located on the sensor cover 1406 being mounted on sensor 1407. The bonding between the spacers 1403, 1404, 1405 and the sensor cover 1406 is through an adhesive. An adhesive is also present between the spacers 1403, 1404, 1405 and the array 1401.
FIG. 23 illustrates another embodiment of a section of multi aperture digital camera, i.e. a lens package 1500. Array 1501 comprising lens elements is positioned within a housing 1502, and spacers 1503, 1504, 1505 are located on the sensor cover 1506 being mounted on sensor 1507. The bonding between the spacers 1503, 1504, 1505 and the sensor cover 1506 is through an adhesive. An adhesive is also present between the spacers 1503, 1504, 1505 and the array 1501. The polymer based lens elements are provided on transparant substrates 1508, 1509 via replication technology. Examples of transparant substrates are glass, polymers, quartz, ceramics, sapphire, crystalline alumina, Yttria, yttrium aluminium garnet (YAG).
The replica layer used in the present system can be composed of a UV curable polymer, selected from the group of polycarbonates, polystyrenes, poly(meth)acrylates, polyurethanes, polyamids, polyimide, polyethers, polyepoxides and polyesters. A replica layer is obtained by using a replication method in which use is made of a mould having a precisely defined surface, for example an aspherical surface, wherein a small amount of a radiation-curable resin, for example a UV curable resin, is applied to the mould surface. Subsequently, the resin is spread over the mould surface, so that the cavities present in the mould are filled with the resin, whereupon the whole is subsequently irradiated for curing the resin and the thus cured product is removed from the mould. The cured product is a negative of the mould surface. An advantage of the replication process is that lenses having an intricate refractive surface, such as an aspherical surface, can be produced in simple manner, without complicated processes of grinding and polishing the lens body being required. In addition to that, the replica layer is durably joined to the surface to which the replica layer is applied, without adhesives being used. In addition, there is no occurrence of so-called “air gaps”, which lead to large refractive index transitions between the surface and the air layer that is present.
Suitable UV curable compositions are: polycarbonates, including diethylene glycolbis-(allyl)carbonate, polystyrenes, including polychlorine styrene, polyacrylates, such as poly(trifluoroethyl methacrylate), poly(isobutyl methacrylate), poly(methylacrylate), poly(methyl methacrylate), poly(alphamethyl bromium acrylate), poly(methacrylic acid)-2,3-dibromium propylpoly(phenyl methacrylate poly(pentachlorine phenyl-methacrylate polymer), polyester compounds such as diallylphthalate, poly(vinyl-benzoate), poly(vinylnaphthalene), poly(vinylcarbazole) and silicones in the form of various types of resin materials, as well as acrylic resin, urethane resin, epoxy resin, enthiol resin or thiourethane resin or photopolymer.
Exposure preferably takes place with an intensity of between 100 en 2000 W/cm<2>, in particular 700 W/cm<2>, and a dose of 1-15 J/cm<2>, in particular 7 J/cm<2>, a wavelength in the 320-400 nm range and an exposure time of 1-60 seconds, in particular 10 seconds.
Suitable UV curable adhesive compositions include GAFGARD233 (marketed by DuPont, type vinylpyrrolidone), Norland Inc. NOA-61, NOA-63, NOA-65, Three bond AVR-100 and Sony Chemical UV-1003, possibly provided with the usual additives such as initiators, reactive or nonreactive dilutants, crosslinking agents, fillers, pigments and anti-shrinkage agents.
Spacers mentioned in the Figs. are made of a rigid material, for example glass, silicon or a composite material such as FR4. In an embodiment the spacer plate is so configured that it will not interfere with the light path through the two separate lens elements, The spacer plate comprises an opening which is positioned coaxially with a main optical axis of the lens element in question, whilst in a special embodiment the side of said opening is provided with an anti-reflective coating.
The color filters, Infrared blocking filters, apertures and antireflection coatings on the substrates or lens surfaces can be manufactured according to well known industrial processes, like coating processes chemical vapor deposition, physical vapor deposition.
Suitable technologies regarding a multi-aperture camera through assembling discrete optical elements, lens housing and optical blocking structures are disclosed in U.S. Patent Publication Nos. 2010/0127157 and US2010/0039713. These documents are incorporated by reference herein. The optical elements can be manufactured through injection molding, glass molding of a thermoplast, or by pressing a glass preshape in a single cavity or plural cavity mold.
Suitable technologies for manufacturing coverplates lens holders for wafer level optics camera are disclosed in U.S. Patent Publication Nos. 2010/0052192, 2009/0321861, and 2010/0117176, which are incorporated by reference herein.
Additional Configurations Considerations
Throughout this specification, some embodiments have used the expression “coupled” along with its derivatives. The term “coupled” as used herein is not necessarily limited to two or more elements being in direct physical or electrical contact. Rather, the term “coupled” may also encompass two or more elements are not in direct contact with each other, but yet still co-operate or interact with each other, or are structured to provide a thermal conduction path between the elements.
Likewise, as used herein, the terms “comprises,” “comprising,” “includes,” “including,” “has,” “having” or any other variation thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, article, or apparatus that comprises a list of elements is not necessarily limited to only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
In addition, use of the “a” or “an” are employed to describe elements and components of the embodiments herein. This is done merely for convenience and to give a general sense of the invention. This description should be read to include one or at least one and the singular also includes the plural unless it is obvious that it is meant otherwise.
Finally, as used herein any reference to “one embodiment” or “an embodiment” means that a particular element, feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. The appearances of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment.
Upon reading this disclosure, those of skill in the art will appreciate still additional alternative structural and functional designs from the principles herein. Thus, while particular embodiments and applications have been illustrated and described, it is to be understood that the disclosed embodiments are not limited to the precise construction and components disclosed herein. Various modifications, changes and variations, which will be apparent to those skilled in the art, may be made in the arrangement, operation and details of the method and apparatus disclosed herein without departing from the spirit and scope defined in the appended claims.

Claims (18)

The invention claimed is:
1. A multi-lens camera system, comprising:
a first lens configured to direct light collected from a field of view onto a first image sensor portion, the collected light comprising light from a first portion of the field of view that is geometrically distorted according to a first geometric distortion function;
a second lens configured to direct light collected from the field of view onto a second image sensor portion, the collected light comprising light from a second portion of the field of view that is geometrically distorted according to second geometric distortion function; and
an image sensor comprising the first image sensor portion and the second image sensor portion and configured to capture light incident upon the first image sensor portion and the second information sensor portion to form an image, the image sensor further configured to combine luminance information from the geometrically distorted light from the first portion of the field of view and luminance information from the geometrically distorted light from the second portion of the field of view to form combined luminance information for the image.
2. The multi-lens camera system of claim 1, wherein the first geometric distortion function is different than the second geometric distortion function.
3. The multi-lens camera system of claim 1, wherein the geometrically distorted light comprises magnified collected light.
4. The multi-lens camera system of claim 1, wherein each lens geometrically distorts collected light responsive to the optical properties of the lens.
5. The multi-lens camera system of claim 4, wherein the optical properties of each lens comprise one of: the shape of the lens, the thickness of the lens, the air space thickness of the lens, the lens materials, and the aperture dimensions of the lens.
6. The multi-lens camera system of claim 1, wherein at least one of the lenses includes a neutral density filter.
7. The multi-lens camera system of claim 1, wherein at least one of the lenses includes a chromatic filter.
8. The multi-lens camera system of claim 1, wherein at least one of the lenses includes a polarizing filter.
9. A method for improving image resolution, comprising:
receiving, from a first lens configured to direct light collected from a field of view onto a first image sensor portion, collected light comprising geometrically distorted light from a first portion of the field of view;
receiving, from a second lens configured to direct light collected from the field of view onto a second image sensor portion, collected light comprising geometrically distorted light from a second portion of the field of view;
capturing the received light; and
generating image luminance information based on the captured geometrically distorted light from the first portion of the field of view and the captured geometrically distorted light from the second portion of the field of view.
10. The method of claim 9, further comprising:
correcting the geometrically distorted light;
generating image chrominance information based on the corrected geometrically distorted light; and
generating the image based on the image luminance information and the image chrominance information.
11. The method of claim 10, wherein the geometrically distorted light is upscaled before it is corrected.
12. The method of claim 9, wherein each lens distorts light according to a geometric distortion, the geometric distortion comprising a function of field of view location.
13. The method of claim 9, wherein the geometrically distorted light comprises magnified collected light.
14. The method of claim 9, wherein each lens geometrically distorts collected light responsive to the optical properties of the lens.
15. The method of claim 14, wherein the optical properties of each lens comprise one of: the shape of the lens, the thickness of the lens, the air space thickness of the lens, the lens materials, and the aperture dimensions of the lens.
16. The method of claim 9, wherein at least one of the lenses includes a neutral density filter.
17. The method of claim 9, wherein at least one of the lenses includes a chromatic filter.
18. The method of claim 9, wherein at least one of the lenses includes a polarizing filter.
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Cited By (53)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9754182B2 (en) 2015-09-02 2017-09-05 Apple Inc. Detecting keypoints in image data
US10051201B1 (en) 2017-03-20 2018-08-14 Google Llc Camera system including lens with magnification gradient
US10078196B2 (en) 2015-09-17 2018-09-18 Samsung Electronics Co., Ltd. Camera module including multi-lens and electronic device having the same
US10156706B2 (en) 2014-08-10 2018-12-18 Corephotonics Ltd. Zoom dual-aperture camera with folded lens
US10225479B2 (en) 2013-06-13 2019-03-05 Corephotonics Ltd. Dual aperture zoom digital camera
US10230898B2 (en) 2015-08-13 2019-03-12 Corephotonics Ltd. Dual aperture zoom camera with video support and switching / non-switching dynamic control
US10250797B2 (en) 2013-08-01 2019-04-02 Corephotonics Ltd. Thin multi-aperture imaging system with auto-focus and methods for using same
US10284780B2 (en) 2015-09-06 2019-05-07 Corephotonics Ltd. Auto focus and optical image stabilization with roll compensation in a compact folded camera
US10288896B2 (en) 2013-07-04 2019-05-14 Corephotonics Ltd. Thin dual-aperture zoom digital camera
US10288840B2 (en) 2015-01-03 2019-05-14 Corephotonics Ltd Miniature telephoto lens module and a camera utilizing such a lens module
US10288897B2 (en) 2015-04-02 2019-05-14 Corephotonics Ltd. Dual voice coil motor structure in a dual-optical module camera
US10371928B2 (en) 2015-04-16 2019-08-06 Corephotonics Ltd Auto focus and optical image stabilization in a compact folded camera
US10379371B2 (en) 2015-05-28 2019-08-13 Corephotonics Ltd Bi-directional stiffness for optical image stabilization in a dual-aperture digital camera
US10488631B2 (en) 2016-05-30 2019-11-26 Corephotonics Ltd. Rotational ball-guided voice coil motor
US10534153B2 (en) 2017-02-23 2020-01-14 Corephotonics Ltd. Folded camera lens designs
US10578948B2 (en) 2015-12-29 2020-03-03 Corephotonics Ltd. Dual-aperture zoom digital camera with automatic adjustable tele field of view
US10616484B2 (en) 2016-06-19 2020-04-07 Corephotonics Ltd. Frame syncrhonization in a dual-aperture camera system
US10645286B2 (en) 2017-03-15 2020-05-05 Corephotonics Ltd. Camera with panoramic scanning range
US10694168B2 (en) 2018-04-22 2020-06-23 Corephotonics Ltd. System and method for mitigating or preventing eye damage from structured light IR/NIR projector systems
US10706518B2 (en) 2016-07-07 2020-07-07 Corephotonics Ltd. Dual camera system with improved video smooth transition by image blending
US10845565B2 (en) 2016-07-07 2020-11-24 Corephotonics Ltd. Linear ball guided voice coil motor for folded optic
US10884321B2 (en) 2017-01-12 2021-01-05 Corephotonics Ltd. Compact folded camera
US10904512B2 (en) 2017-09-06 2021-01-26 Corephotonics Ltd. Combined stereoscopic and phase detection depth mapping in a dual aperture camera
US10924667B2 (en) 2018-10-04 2021-02-16 Samsung Electronics Co., Ltd. Image sensor and image sensing method
USRE48444E1 (en) 2012-11-28 2021-02-16 Corephotonics Ltd. High resolution thin multi-aperture imaging systems
US10951834B2 (en) 2017-10-03 2021-03-16 Corephotonics Ltd. Synthetically enlarged camera aperture
US10976567B2 (en) 2018-02-05 2021-04-13 Corephotonics Ltd. Reduced height penalty for folded camera
WO2022019908A1 (en) * 2020-07-22 2022-01-27 EyeQue Inc. Method and apparatus for refraction and vision measurement
US11268829B2 (en) 2018-04-23 2022-03-08 Corephotonics Ltd Optical-path folding-element with an extended two degree of freedom rotation range
US11287081B2 (en) 2019-01-07 2022-03-29 Corephotonics Ltd. Rotation mechanism with sliding joint
US11315276B2 (en) 2019-03-09 2022-04-26 Corephotonics Ltd. System and method for dynamic stereoscopic calibration
US11333955B2 (en) 2017-11-23 2022-05-17 Corephotonics Ltd. Compact folded camera structure
US11363180B2 (en) 2018-08-04 2022-06-14 Corephotonics Ltd. Switchable continuous display information system above camera
US11368631B1 (en) 2019-07-31 2022-06-21 Corephotonics Ltd. System and method for creating background blur in camera panning or motion
US11375092B2 (en) 2018-10-04 2022-06-28 Samsung Electronics Co., Ltd. Image sensor and image sensing method
US11531209B2 (en) 2016-12-28 2022-12-20 Corephotonics Ltd. Folded camera structure with an extended light-folding-element scanning range
US11637977B2 (en) 2020-07-15 2023-04-25 Corephotonics Ltd. Image sensors and sensing methods to obtain time-of-flight and phase detection information
US11635596B2 (en) 2018-08-22 2023-04-25 Corephotonics Ltd. Two-state zoom folded camera
US11640047B2 (en) 2018-02-12 2023-05-02 Corephotonics Ltd. Folded camera with optical image stabilization
US11659135B2 (en) 2019-10-30 2023-05-23 Corephotonics Ltd. Slow or fast motion video using depth information
US11693064B2 (en) 2020-04-26 2023-07-04 Corephotonics Ltd. Temperature control for Hall bar sensor correction
US11770618B2 (en) 2019-12-09 2023-09-26 Corephotonics Ltd. Systems and methods for obtaining a smart panoramic image
US11770609B2 (en) 2020-05-30 2023-09-26 Corephotonics Ltd. Systems and methods for obtaining a super macro image
US11832018B2 (en) 2020-05-17 2023-11-28 Corephotonics Ltd. Image stitching in the presence of a full field of view reference image
US11910089B2 (en) 2020-07-15 2024-02-20 Corephotonics Lid. Point of view aberrations correction in a scanning folded camera
US11946775B2 (en) 2020-07-31 2024-04-02 Corephotonics Ltd. Hall sensor—magnet geometry for large stroke linear position sensing
US11949976B2 (en) 2019-12-09 2024-04-02 Corephotonics Ltd. Systems and methods for obtaining a smart panoramic image
US11968453B2 (en) 2020-08-12 2024-04-23 Corephotonics Ltd. Optical image stabilization in a scanning folded camera
US12007671B2 (en) 2021-06-08 2024-06-11 Corephotonics Ltd. Systems and cameras for tilting a focal plane of a super-macro image
US12007668B2 (en) 2020-02-22 2024-06-11 Corephotonics Ltd. Split screen feature for macro photography
US12081856B2 (en) 2021-03-11 2024-09-03 Corephotonics Lid. Systems for pop-out camera
US12101575B2 (en) 2020-12-26 2024-09-24 Corephotonics Ltd. Video support in a multi-aperture mobile camera with a scanning zoom camera
US12124106B2 (en) 2024-04-04 2024-10-22 Corephotonics Ltd. Linear ball guided voice coil motor for folded optic

Families Citing this family (155)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11792538B2 (en) 2008-05-20 2023-10-17 Adeia Imaging Llc Capturing and processing of images including occlusions focused on an image sensor by a lens stack array
US8866920B2 (en) 2008-05-20 2014-10-21 Pelican Imaging Corporation Capturing and processing of images using monolithic camera array with heterogeneous imagers
KR101733443B1 (en) 2008-05-20 2017-05-10 펠리칸 이매징 코포레이션 Capturing and processing of images using monolithic camera array with heterogeneous imagers
EP2502115A4 (en) 2009-11-20 2013-11-06 Pelican Imaging Corp Capturing and processing of images using monolithic camera array with heterogeneous imagers
JP5670481B2 (en) * 2010-02-19 2015-02-18 デュアル・アパーチャー・インコーポレーテッド Multi-aperture image data processing
US20120012748A1 (en) 2010-05-12 2012-01-19 Pelican Imaging Corporation Architectures for imager arrays and array cameras
US20140192238A1 (en) 2010-10-24 2014-07-10 Linx Computational Imaging Ltd. System and Method for Imaging and Image Processing
US9137503B2 (en) 2010-11-03 2015-09-15 Sony Corporation Lens and color filter arrangement, super-resolution camera system and method
US8878950B2 (en) 2010-12-14 2014-11-04 Pelican Imaging Corporation Systems and methods for synthesizing high resolution images using super-resolution processes
KR101973822B1 (en) 2011-05-11 2019-04-29 포토네이션 케이맨 리미티드 Systems and methods for transmitting and receiving array camera image data
US9420240B2 (en) * 2011-05-15 2016-08-16 Lighting Science Group Corporation Intelligent security light and associated methods
US9648284B2 (en) * 2011-05-15 2017-05-09 Lighting Science Group Corporation Occupancy sensor and associated methods
US20130265459A1 (en) 2011-06-28 2013-10-10 Pelican Imaging Corporation Optical arrangements for use with an array camera
EP2726930A4 (en) 2011-06-28 2015-03-04 Pelican Imaging Corp Optical arrangements for use with an array camera
US20130070060A1 (en) 2011-09-19 2013-03-21 Pelican Imaging Corporation Systems and methods for determining depth from multiple views of a scene that include aliasing using hypothesized fusion
EP2761534B1 (en) 2011-09-28 2020-11-18 FotoNation Limited Systems for encoding light field image files
EP2817955B1 (en) 2012-02-21 2018-04-11 FotoNation Cayman Limited Systems and methods for the manipulation of captured light field image data
CN103365032B (en) * 2012-03-28 2017-06-06 鸿富锦精密工业(深圳)有限公司 Light source channel correcting method and system
US9210392B2 (en) 2012-05-01 2015-12-08 Pelican Imaging Coporation Camera modules patterned with pi filter groups
EP2677734A3 (en) * 2012-06-18 2016-01-13 Sony Mobile Communications AB Array camera imaging system and method
JP2015534734A (en) 2012-06-28 2015-12-03 ペリカン イメージング コーポレイション System and method for detecting defective camera arrays, optical arrays, and sensors
US20140002674A1 (en) 2012-06-30 2014-01-02 Pelican Imaging Corporation Systems and Methods for Manufacturing Camera Modules Using Active Alignment of Lens Stack Arrays and Sensors
US9185387B2 (en) 2012-07-03 2015-11-10 Gopro, Inc. Image blur based on 3D depth information
WO2014006514A2 (en) * 2012-07-04 2014-01-09 Opera Imaging B.V. Image processing in a multi-channel camera
TW201406149A (en) * 2012-07-27 2014-02-01 Pei Rui Technology Co Ltd Multi-camera image composition system
EP3869797B1 (en) 2012-08-21 2023-07-19 Adeia Imaging LLC Method for depth detection in images captured using array cameras
US20140055632A1 (en) 2012-08-23 2014-02-27 Pelican Imaging Corporation Feature based high resolution motion estimation from low resolution images captured using an array source
US9531961B2 (en) 2015-05-01 2016-12-27 Duelight Llc Systems and methods for generating a digital image using separate color and intensity data
US9918017B2 (en) 2012-09-04 2018-03-13 Duelight Llc Image sensor apparatus and method for obtaining multiple exposures with zero interframe time
US9214013B2 (en) 2012-09-14 2015-12-15 Pelican Imaging Corporation Systems and methods for correcting user identified artifacts in light field images
EP2901671A4 (en) 2012-09-28 2016-08-24 Pelican Imaging Corp Generating images from light fields utilizing virtual viewpoints
US9143711B2 (en) 2012-11-13 2015-09-22 Pelican Imaging Corporation Systems and methods for array camera focal plane control
WO2014084730A1 (en) * 2012-11-27 2014-06-05 Multimagnetic Solutions Ltd System and method for generating image using multiple lenses and multiple imagers
US9819849B1 (en) 2016-07-01 2017-11-14 Duelight Llc Systems and methods for capturing digital images
US10558848B2 (en) 2017-10-05 2020-02-11 Duelight Llc System, method, and computer program for capturing an image with correct skin tone exposure
US9807322B2 (en) 2013-03-15 2017-10-31 Duelight Llc Systems and methods for a digital image sensor
US9462164B2 (en) 2013-02-21 2016-10-04 Pelican Imaging Corporation Systems and methods for generating compressed light field representation data using captured light fields, array geometry, and parallax information
US9374512B2 (en) 2013-02-24 2016-06-21 Pelican Imaging Corporation Thin form factor computational array cameras and modular array cameras
US9638883B1 (en) 2013-03-04 2017-05-02 Fotonation Cayman Limited Passive alignment of array camera modules constructed from lens stack arrays and sensors based upon alignment information obtained during manufacture of array camera modules using an active alignment process
US9774789B2 (en) 2013-03-08 2017-09-26 Fotonation Cayman Limited Systems and methods for high dynamic range imaging using array cameras
US8866912B2 (en) 2013-03-10 2014-10-21 Pelican Imaging Corporation System and methods for calibration of an array camera using a single captured image
US9521416B1 (en) 2013-03-11 2016-12-13 Kip Peli P1 Lp Systems and methods for image data compression
WO2014164550A2 (en) 2013-03-13 2014-10-09 Pelican Imaging Corporation System and methods for calibration of an array camera
US9519972B2 (en) 2013-03-13 2016-12-13 Kip Peli P1 Lp Systems and methods for synthesizing images from image data captured by an array camera using restricted depth of field depth maps in which depth estimation precision varies
US9106784B2 (en) 2013-03-13 2015-08-11 Pelican Imaging Corporation Systems and methods for controlling aliasing in images captured by an array camera for use in super-resolution processing
US9888194B2 (en) 2013-03-13 2018-02-06 Fotonation Cayman Limited Array camera architecture implementing quantum film image sensors
WO2014159779A1 (en) 2013-03-14 2014-10-02 Pelican Imaging Corporation Systems and methods for reducing motion blur in images or video in ultra low light with array cameras
WO2014153098A1 (en) 2013-03-14 2014-09-25 Pelican Imaging Corporation Photmetric normalization in array cameras
US9633442B2 (en) 2013-03-15 2017-04-25 Fotonation Cayman Limited Array cameras including an array camera module augmented with a separate camera
US9497429B2 (en) 2013-03-15 2016-11-15 Pelican Imaging Corporation Extended color processing on pelican array cameras
WO2014150856A1 (en) 2013-03-15 2014-09-25 Pelican Imaging Corporation Array camera implementing quantum dot color filters
US10122993B2 (en) 2013-03-15 2018-11-06 Fotonation Limited Autofocus system for a conventional camera that uses depth information from an array camera
US9438888B2 (en) 2013-03-15 2016-09-06 Pelican Imaging Corporation Systems and methods for stereo imaging with camera arrays
US9445003B1 (en) 2013-03-15 2016-09-13 Pelican Imaging Corporation Systems and methods for synthesizing high resolution images using image deconvolution based on motion and depth information
CN109256404B (en) 2013-07-04 2023-08-15 株式会社尼康 Image pickup device and electronic apparatus
US20150022643A1 (en) * 2013-07-19 2015-01-22 Google Inc. Asymmetric Sensor Array for Capturing Images
US9934611B2 (en) * 2013-09-11 2018-04-03 Qualcomm Incorporated Structural modeling using depth sensors
WO2015048694A2 (en) 2013-09-27 2015-04-02 Pelican Imaging Corporation Systems and methods for depth-assisted perspective distortion correction
US10010276B2 (en) 2013-10-07 2018-07-03 Masimo Corporation Regional oximetry user interface
US11147518B1 (en) 2013-10-07 2021-10-19 Masimo Corporation Regional oximetry signal processor
US10591969B2 (en) 2013-10-25 2020-03-17 Google Technology Holdings LLC Sensor-based near-field communication authentication
US9185276B2 (en) 2013-11-07 2015-11-10 Pelican Imaging Corporation Methods of manufacturing array camera modules incorporating independently aligned lens stacks
US10119808B2 (en) 2013-11-18 2018-11-06 Fotonation Limited Systems and methods for estimating depth from projected texture using camera arrays
WO2015081279A1 (en) 2013-11-26 2015-06-04 Pelican Imaging Corporation Array camera configurations incorporating multiple constituent array cameras
US9462170B2 (en) * 2014-02-21 2016-10-04 The Lightco Inc. Lighting methods and apparatus
WO2015134996A1 (en) 2014-03-07 2015-09-11 Pelican Imaging Corporation System and methods for depth regularization and semiautomatic interactive matting using rgb-d images
US9247117B2 (en) 2014-04-07 2016-01-26 Pelican Imaging Corporation Systems and methods for correcting for warpage of a sensor array in an array camera module by introducing warpage into a focal plane of a lens stack array
KR102269599B1 (en) 2014-04-23 2021-06-25 삼성전자주식회사 Image pickup apparatus including lens elements having different diameters
TW201545555A (en) * 2014-05-30 2015-12-01 Everready Prec Ind Corp Device with multi-image photographing
US9521319B2 (en) 2014-06-18 2016-12-13 Pelican Imaging Corporation Array cameras and array camera modules including spectral filters disposed outside of a constituent image sensor
WO2016004115A1 (en) 2014-07-01 2016-01-07 Apple Inc. Mobile camera system
JP6555264B2 (en) * 2014-07-16 2019-08-07 ソニー株式会社 Compound eye imaging device
US9685194B2 (en) 2014-07-23 2017-06-20 Gopro, Inc. Voice-based video tagging
US9984293B2 (en) 2014-07-23 2018-05-29 Gopro, Inc. Video scene classification by activity
US9225889B1 (en) 2014-08-18 2015-12-29 Entropix, Inc. Photographic image acquisition device and method
EP3201877B1 (en) 2014-09-29 2018-12-19 Fotonation Cayman Limited Systems and methods for dynamic calibration of array cameras
US9716819B2 (en) 2014-09-29 2017-07-25 Samsung Electronics Co., Ltd. Imaging device with 4-lens time-of-flight pixels and interleaved readout thereof
US10924688B2 (en) 2014-11-06 2021-02-16 Duelight Llc Image sensor apparatus and method for obtaining low-noise, high-speed captures of a photographic scene
US11463630B2 (en) 2014-11-07 2022-10-04 Duelight Llc Systems and methods for generating a high-dynamic range (HDR) pixel stream
US9734870B2 (en) 2015-01-05 2017-08-15 Gopro, Inc. Media identifier generation for camera-captured media
CN104717482A (en) * 2015-03-12 2015-06-17 天津大学 Multi-spectral multi-depth-of-field array shooting method and shooting camera
US9942474B2 (en) 2015-04-17 2018-04-10 Fotonation Cayman Limited Systems and methods for performing high speed video capture and depth estimation using array cameras
GB2538997A (en) * 2015-06-03 2016-12-07 Nokia Technologies Oy A method, an apparatus, a computer program for video coding
KR101930196B1 (en) * 2015-06-03 2018-12-17 재단법인 다차원 스마트 아이티 융합시스템 연구단 Multi-aperture camera system with autofocus and / or depth estimation
EA034651B1 (en) * 2015-06-15 2020-03-03 Эгроувинг Лтд Multispectral imaging apparatus
US9497367B1 (en) * 2015-07-22 2016-11-15 Ic Real Tech, Inc Maximizing effective surface area of a rectangular image sensor concurrently capturing image data from two lenses
WO2017034046A1 (en) * 2015-08-24 2017-03-02 재단법인 다차원 스마트 아이티 융합시스템 연구단 Method and device for extracting depth in multi-aperture camera
US9639560B1 (en) * 2015-10-22 2017-05-02 Gopro, Inc. Systems and methods that effectuate transmission of workflow between computing platforms
US9933601B2 (en) * 2015-12-16 2018-04-03 Intel Corporation Stacked wafer lens and camera
DE102016200285A1 (en) 2016-01-13 2017-07-13 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Multi-aperture imaging apparatus, imaging system and method for detecting an object area
US9871994B1 (en) 2016-01-19 2018-01-16 Gopro, Inc. Apparatus and methods for providing content context using session metadata
US9787862B1 (en) 2016-01-19 2017-10-10 Gopro, Inc. Apparatus and methods for generating content proxy
US10078644B1 (en) 2016-01-19 2018-09-18 Gopro, Inc. Apparatus and methods for manipulating multicamera content using content proxy
US10129464B1 (en) 2016-02-18 2018-11-13 Gopro, Inc. User interface for creating composite images
CN107181905B (en) * 2016-03-10 2020-07-10 中兴通讯股份有限公司 Imaging method and device
US9972066B1 (en) 2016-03-16 2018-05-15 Gopro, Inc. Systems and methods for providing variable image projection for spherical visual content
US10402938B1 (en) 2016-03-31 2019-09-03 Gopro, Inc. Systems and methods for modifying image distortion (curvature) for viewing distance in post capture
US9838730B1 (en) 2016-04-07 2017-12-05 Gopro, Inc. Systems and methods for audio track selection in video editing
CN107295225B (en) * 2016-04-12 2020-07-10 三星电机株式会社 Camera module
US10229719B1 (en) 2016-05-09 2019-03-12 Gopro, Inc. Systems and methods for generating highlights for a video
US9953679B1 (en) 2016-05-24 2018-04-24 Gopro, Inc. Systems and methods for generating a time lapse video
US9967515B1 (en) 2016-06-15 2018-05-08 Gopro, Inc. Systems and methods for bidirectional speed ramping
US9922682B1 (en) 2016-06-15 2018-03-20 Gopro, Inc. Systems and methods for organizing video files
US10045120B2 (en) 2016-06-20 2018-08-07 Gopro, Inc. Associating audio with three-dimensional objects in videos
US10395119B1 (en) 2016-08-10 2019-08-27 Gopro, Inc. Systems and methods for determining activities performed during video capture
US9953224B1 (en) 2016-08-23 2018-04-24 Gopro, Inc. Systems and methods for generating a video summary
CN109792478B (en) 2016-09-01 2021-11-12 迪尤莱特公司 Apparatus and method for adjusting focus based on focus target information
US10268898B1 (en) 2016-09-21 2019-04-23 Gopro, Inc. Systems and methods for determining a sample frame order for analyzing a video via segments
US10282632B1 (en) 2016-09-21 2019-05-07 Gopro, Inc. Systems and methods for determining a sample frame order for analyzing a video
US10044972B1 (en) 2016-09-30 2018-08-07 Gopro, Inc. Systems and methods for automatically transferring audiovisual content
US10397415B1 (en) 2016-09-30 2019-08-27 Gopro, Inc. Systems and methods for automatically transferring audiovisual content
US11106988B2 (en) 2016-10-06 2021-08-31 Gopro, Inc. Systems and methods for determining predicted risk for a flight path of an unmanned aerial vehicle
US10002641B1 (en) 2016-10-17 2018-06-19 Gopro, Inc. Systems and methods for determining highlight segment sets
KR102646437B1 (en) 2016-11-25 2024-03-11 삼성전자주식회사 Captureing apparatus and metohd based on multi lens
CN106534590B (en) * 2016-12-27 2019-08-20 努比亚技术有限公司 A kind of photo processing method, device and terminal
US9916863B1 (en) 2017-02-24 2018-03-13 Gopro, Inc. Systems and methods for editing videos based on shakiness measures
US10339443B1 (en) 2017-02-24 2019-07-02 Gopro, Inc. Systems and methods for processing convolutional neural network operations using textures
US10360663B1 (en) * 2017-04-07 2019-07-23 Gopro, Inc. Systems and methods to create a dynamic blur effect in visual content
CN107040724B (en) * 2017-04-28 2020-05-15 Oppo广东移动通信有限公司 Dual-core focusing image sensor, focusing control method thereof and imaging device
US10395122B1 (en) 2017-05-12 2019-08-27 Gopro, Inc. Systems and methods for identifying moments in videos
US10406645B2 (en) 2017-05-24 2019-09-10 Trimble Inc. Calibration approach for camera placement
US10300573B2 (en) 2017-05-24 2019-05-28 Trimble Inc. Measurement, layout, marking, firestop stick
US10341618B2 (en) * 2017-05-24 2019-07-02 Trimble Inc. Infrastructure positioning camera system
US10652456B2 (en) * 2017-05-31 2020-05-12 Intel IP Corporation Image sensor operation
CN107295256A (en) 2017-06-23 2017-10-24 华为技术有限公司 A kind of image processing method, device and equipment
CN110771152B (en) * 2017-06-26 2022-03-01 三菱电机株式会社 Compound-eye imaging device, image processing method, and recording medium
US10614114B1 (en) 2017-07-10 2020-04-07 Gopro, Inc. Systems and methods for creating compilations based on hierarchical clustering
US10402698B1 (en) 2017-07-10 2019-09-03 Gopro, Inc. Systems and methods for identifying interesting moments within videos
US10482618B2 (en) 2017-08-21 2019-11-19 Fotonation Limited Systems and methods for hybrid depth regularization
US10863057B2 (en) 2017-08-30 2020-12-08 Samsung Electronics Co., Ltd. Synchronizing image captures in multiple sensor devices
KR101889886B1 (en) * 2017-12-22 2018-08-21 세명대학교 산학협력단 Depth information generating method and apparatus
JP7197981B2 (en) * 2018-01-24 2022-12-28 キヤノン株式会社 Camera, terminal device, camera control method, terminal device control method, and program
CN108377345B (en) 2018-04-11 2020-04-03 浙江大华技术股份有限公司 Exposure parameter value determination method and device, multi-view camera and storage medium
US11809613B2 (en) * 2018-11-12 2023-11-07 Magic Leap, Inc. Event-based camera with high-resolution frame output
US11985440B2 (en) 2018-11-12 2024-05-14 Magic Leap, Inc. Depth based dynamic vision sensor
CN111225126A (en) * 2018-11-23 2020-06-02 华为技术有限公司 Multi-channel video stream generation method and device
US11039097B2 (en) 2018-12-12 2021-06-15 Samsung Electronics Co., Ltd. Lens array camera and method of driving lens array camera
WO2020192039A1 (en) * 2019-03-27 2020-10-01 Guangdong Oppo Mobile Telecommunications Corp., Ltd. Three-dimensional localization using light-depth images
CN112468684A (en) * 2019-09-09 2021-03-09 北京小米移动软件有限公司 Camera module and mobile terminal with same
MX2022003020A (en) 2019-09-17 2022-06-14 Boston Polarimetrics Inc Systems and methods for surface modeling using polarization cues.
CN110661972B (en) * 2019-09-27 2021-02-23 维沃移动通信有限公司 Image processing method, image processing apparatus, electronic device, and medium
KR20230004423A (en) 2019-10-07 2023-01-06 보스턴 폴라리메트릭스, 인크. Surface normal sensing system and method using polarization
WO2021108002A1 (en) 2019-11-30 2021-06-03 Boston Polarimetrics, Inc. Systems and methods for transparent object segmentation using polarization cues
TWI717942B (en) * 2019-12-19 2021-02-01 宏碁股份有限公司 Lens matching apparatus and lens matching method
US11195303B2 (en) 2020-01-29 2021-12-07 Boston Polarimetrics, Inc. Systems and methods for characterizing object pose detection and measurement systems
KR20220133973A (en) 2020-01-30 2022-10-05 인트린식 이노베이션 엘엘씨 Systems and methods for synthesizing data to train statistical models for different imaging modalities, including polarized images
WO2021243088A1 (en) 2020-05-27 2021-12-02 Boston Polarimetrics, Inc. Multi-aperture polarization optical systems using beam splitters
US12020455B2 (en) 2021-03-10 2024-06-25 Intrinsic Innovation Llc Systems and methods for high dynamic range image reconstruction
US12069227B2 (en) 2021-03-10 2024-08-20 Intrinsic Innovation Llc Multi-modal and multi-spectral stereo camera arrays
US20220311938A1 (en) * 2021-03-24 2022-09-29 Qualcomm Incorporated Image capture with expanded field of view
US11290658B1 (en) 2021-04-15 2022-03-29 Boston Polarimetrics, Inc. Systems and methods for camera exposure control
US11954886B2 (en) 2021-04-15 2024-04-09 Intrinsic Innovation Llc Systems and methods for six-degree of freedom pose estimation of deformable objects
US12067746B2 (en) 2021-05-07 2024-08-20 Intrinsic Innovation Llc Systems and methods for using computer vision to pick up small objects
US11689813B2 (en) 2021-07-01 2023-06-27 Intrinsic Innovation Llc Systems and methods for high dynamic range imaging using crossed polarizers
US11956555B2 (en) * 2022-05-20 2024-04-09 Varjo Technologies Oy Imaging with cameras having different distortion profiles

Citations (53)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4890905A (en) 1985-06-10 1990-01-02 U.S. Philips Corp. Replica lens and method of manufacturing same
WO2000022566A1 (en) 1998-10-09 2000-04-20 Sarnoff Corporation Method and apparatus for extended depth of field imaging
JP2000152281A (en) 1998-11-09 2000-05-30 Sony Corp Image pickup device
US6115065A (en) 1995-11-07 2000-09-05 California Institute Of Technology Image sensor producing at least two integration times from each sensing pixel
EP1206126A2 (en) 2000-10-13 2002-05-15 Canon Kabushiki Kaisha Image pickup apparatus
US20020089596A1 (en) 2000-12-28 2002-07-11 Yasuo Suda Image sensing apparatus
US20020122124A1 (en) * 2000-10-25 2002-09-05 Yasuo Suda Image sensing apparatus and its control method, control program, and storage medium
WO2003049035A2 (en) 2001-12-06 2003-06-12 Koninklijke Philips Electronics N.V. Method and apparatus for automatic face blurring
US20040047518A1 (en) 2002-08-28 2004-03-11 Carlo Tiana Image fusion system and method
WO2004027880A2 (en) 2002-09-17 2004-04-01 Koninklijke Philips Electronics N.V. Camera device, method of manufacturing a camera device, wafer scale package
US20040080661A1 (en) 2000-12-22 2004-04-29 Sven-Ake Afsenius Camera that combines the best focused parts from different exposures to an image
US20040109004A1 (en) 2002-12-09 2004-06-10 Bastos Rui M. Depth-of-field effects using texture lookup
US6773638B2 (en) 2000-07-19 2004-08-10 Koninklijke Philips Electronics N.V. Process of making a replica
US6809766B1 (en) 1998-03-11 2004-10-26 Micro Technology, Inc. Look ahead rolling shutter system in CMOS sensors
JP2005109622A (en) 2003-09-29 2005-04-21 Minolta Co Ltd Multiple-lens imaging apparatus and mobile communication terminal
US20050225654A1 (en) 2004-04-08 2005-10-13 Digital Optics Corporation Thin color camera
JP2005303694A (en) 2004-04-13 2005-10-27 Konica Minolta Holdings Inc Compound eye imaging device
US6980248B1 (en) * 1999-06-30 2005-12-27 Canon Kabushiki Kaisha Image pickup apparatus
US20060108505A1 (en) 2004-11-19 2006-05-25 Gruhlke Russell W Imaging systems and methods
US20060193509A1 (en) 2005-02-25 2006-08-31 Microsoft Corporation Stereo-based image processing
US7151259B2 (en) 2002-10-01 2006-12-19 Bayerische Motoren Werke Aktiengesellschaft Method for operating an optoelectronic sensor device
WO2007005714A2 (en) 2005-07-01 2007-01-11 Newport Imaging Corporation Method and apparatus for use in camera and systems employing same
JP2007158825A (en) 2005-12-06 2007-06-21 Ricoh Co Ltd Image input device
US20070153086A1 (en) 2005-12-16 2007-07-05 Hitachi, Ltd. Photographing apparatus
US20070177004A1 (en) 2006-06-08 2007-08-02 Timo Kolehmainen Image creating method and imaging device
US20070189748A1 (en) 2006-02-14 2007-08-16 Fotonation Vision Limited Image Blurring
US20070211164A1 (en) 2004-08-25 2007-09-13 Olsen Richard I Imager module optical focus and assembly method
US20070258006A1 (en) 2005-08-25 2007-11-08 Olsen Richard I Solid state camera optics frame and assembly
US20080079839A1 (en) 2006-10-02 2008-04-03 Samsung Electronics Co., Ltd Multi-focal camera apparatus and methods and mediums for generating focus-free image and autofocus image using the multi-focal camera apparatus
WO2008085679A1 (en) 2007-01-11 2008-07-17 Raytheon Company Video camera system using multiple image sensors
WO2008087652A2 (en) 2007-01-21 2008-07-24 Prime Sense Ltd. Depth mapping using multi-beam illumination
US20080219493A1 (en) 2004-03-30 2008-09-11 Yoav Tadmor Image Processing System
US20080218611A1 (en) 2007-03-09 2008-09-11 Parulski Kenneth A Method and apparatus for operating a dual lens camera to augment an image
US20080240508A1 (en) 2007-03-26 2008-10-02 Funai Electric Co., Ltd. Motion Detection Imaging Device
US20080278610A1 (en) 2007-05-11 2008-11-13 Micron Technology, Inc. Configurable pixel array system and method
US20090103792A1 (en) 2007-10-22 2009-04-23 Visiongate, Inc. Depth of Field Extension for Optical Tomography
WO2009123278A1 (en) 2008-04-02 2009-10-08 シャープ株式会社 Imaging device and optical axis control method
US20090262987A1 (en) 2008-03-31 2009-10-22 Google Inc. Automatic face detection and identity masking in images, and applications thereof
WO2009151903A2 (en) 2008-05-20 2009-12-17 Pelican Imaging Corporation Capturing and processing of images using monolithic camera array with hetergeneous imagers
US20090321861A1 (en) 2008-06-26 2009-12-31 Micron Technology, Inc. Microelectronic imagers with stacked lens assemblies and processes for wafer-level packaging of microelectronic imagers
US20100021064A1 (en) 2008-07-23 2010-01-28 Samsung Digital Imaging Co., Ltd. Image processing method and apparatus, and digital photographing apparatus using the same
US20100039713A1 (en) 2008-08-15 2010-02-18 Ether Precision, Inc. Lens assembly and method of manufacture
US20100052192A1 (en) 2008-08-26 2010-03-04 Sharp Kabushiki Kaisha Electronic element wafer module and method for manufacturing electronic element wafer module, electronic element module and method for manufacturing electronic element module, and electronic information device
US20100117176A1 (en) 2008-11-11 2010-05-13 Oki Semiconductor Co., Ltd. Camera module and manufacturing method thereof
WO2010059182A1 (en) 2008-11-21 2010-05-27 Eastman Kodak Company Extended depth of field for image sensor
US20100127157A1 (en) 2008-02-18 2010-05-27 Panasonic Corporation Compound eye camera module
WO2010078563A1 (en) 2009-01-05 2010-07-08 Applied Quantum Technologies, Inc. Multiscale optical system using a lens array
US20100259607A1 (en) 2009-04-09 2010-10-14 Raytheon Company Methods and apparatus for imaging
US20110080487A1 (en) 2008-05-20 2011-04-07 Pelican Imaging Corporation Capturing and processing of images using monolithic camera array with heterogeneous imagers
JP2011109484A (en) 2009-11-18 2011-06-02 Sharp Corp Multi-lens camera apparatus and electronic information device
US20110134282A1 (en) 2009-12-04 2011-06-09 Nobuhiro Morita Imaging device
US20120007942A1 (en) 2010-07-06 2012-01-12 Tessera Technologies Ireland Limited Scene Background Blurring Including Determining A Depth Map
US20130321674A1 (en) * 2012-05-31 2013-12-05 Apple Inc. Image Signal Processing Involving Geometric Distortion Correction

Family Cites Families (64)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3214099B2 (en) * 1992-10-15 2001-10-02 株式会社ニコン Camera focus detection device
NO305728B1 (en) 1997-11-14 1999-07-12 Reidar E Tangen Optoelectronic camera and method of image formatting in the same
JP3397758B2 (en) * 1999-06-30 2003-04-21 キヤノン株式会社 Imaging device
WO2001018563A1 (en) 1999-09-08 2001-03-15 3Dv Systems, Ltd. 3d imaging system
US6995800B2 (en) * 2000-01-27 2006-02-07 Canon Kabushiki Kaisha Image pickup apparatus utilizing a plurality of converging lenses
JP3703385B2 (en) 2000-10-19 2005-10-05 キヤノン株式会社 Imaging device
US20020186312A1 (en) * 2000-11-27 2002-12-12 Moshe Stark Programmable resolution CMOS image sensor
JP2002171430A (en) * 2000-11-30 2002-06-14 Canon Inc Compound eye imaging system, imaging device and electronic apparatus
US6909554B2 (en) 2000-12-27 2005-06-21 Finisar Corporation Wafer integration of micro-optics
US20040201748A1 (en) 2001-09-12 2004-10-14 Tim Goldstein Extended image digital photography
EP1518333A2 (en) 2002-03-25 2005-03-30 The Trustees of Columbia University in the city of New York Method and system for enhancing data quality
JP2004032172A (en) 2002-06-24 2004-01-29 Canon Inc Fly-eye imaging device and equipment comprising the same
JP2004191893A (en) 2002-12-13 2004-07-08 Canon Inc Imaging apparatus
EP1677518A4 (en) 2003-10-22 2009-12-02 Panasonic Corp Imaging device and method of producing the device, portable apparatus, and imaging element and method of producing the element
KR20050041640A (en) * 2003-10-31 2005-05-04 삼성전자주식회사 Image photographing device and method
WO2005043893A1 (en) 2003-11-04 2005-05-12 Matsushita Electric Industrial Co., Ltd. Imaging device
FI20031816A0 (en) 2003-12-11 2003-12-11 Nokia Corp Method and device for creating an image
US20050128509A1 (en) 2003-12-11 2005-06-16 Timo Tokkonen Image creating method and imaging device
US7453510B2 (en) * 2003-12-11 2008-11-18 Nokia Corporation Imaging device
US7446812B2 (en) * 2004-01-13 2008-11-04 Micron Technology, Inc. Wide dynamic range operations for imaging
US8049806B2 (en) 2004-09-27 2011-11-01 Digitaloptics Corporation East Thin camera and associated methods
JP2005333265A (en) 2004-05-18 2005-12-02 Olympus Corp Solid state imaging element and unit
EP1812968B1 (en) 2004-08-25 2019-01-16 Callahan Cellular L.L.C. Apparatus for multiple camera devices and method of operating same
US7564019B2 (en) 2005-08-25 2009-07-21 Richard Ian Olsen Large dynamic range cameras
US20070252908A1 (en) 2004-09-09 2007-11-01 Timo Kolehmainen Method of Creating Colour Image, Imaging Device and Imaging Module
US20060055811A1 (en) 2004-09-14 2006-03-16 Frtiz Bernard S Imaging system having modules with adaptive optical elements
US7936392B2 (en) 2004-10-01 2011-05-03 The Board Of Trustees Of The Leland Stanford Junior University Imaging arrangements and methods therefor
US7483065B2 (en) 2004-12-15 2009-01-27 Aptina Imaging Corporation Multi-lens imaging systems and methods using optical filters having mosaic patterns
JPWO2006068129A1 (en) 2004-12-22 2008-06-12 松下電器産業株式会社 Imaging device and manufacturing method thereof
ATE381852T1 (en) 2005-02-03 2008-01-15 Sony Ericsson Mobile Comm Ab METHOD AND APPARATUS FOR GENERATING IMPROVED IMAGES FROM SEVERAL CONSECUTIVE EXPOSURES
JP2006246193A (en) 2005-03-04 2006-09-14 Matsushita Electric Ind Co Ltd Image pickup device
JP4826152B2 (en) 2005-06-23 2011-11-30 株式会社ニコン Image composition method and imaging apparatus
CN101533202B (en) 2005-07-26 2011-04-13 松下电器产业株式会社 Compound eye imaging apparatus
WO2007017920A1 (en) * 2005-08-05 2007-02-15 Matsushita Electric Industrial Co., Ltd. Imaging device
US7964835B2 (en) * 2005-08-25 2011-06-21 Protarius Filo Ag, L.L.C. Digital cameras with direct luminance and chrominance detection
US20070075218A1 (en) 2005-10-04 2007-04-05 Gates John V Multiple exposure optical imaging apparatus
US7620309B2 (en) 2006-04-04 2009-11-17 Adobe Systems, Incorporated Plenoptic camera
JP4172512B2 (en) 2006-08-30 2008-10-29 船井電機株式会社 Panorama imaging device
US8031258B2 (en) 2006-10-04 2011-10-04 Omnivision Technologies, Inc. Providing multiple video signals from single sensor
US8290358B1 (en) 2007-06-25 2012-10-16 Adobe Systems Incorporated Methods and apparatus for light-field imaging
US7855740B2 (en) * 2007-07-20 2010-12-21 Eastman Kodak Company Multiple component readout of image sensor
JP4905326B2 (en) 2007-11-12 2012-03-28 ソニー株式会社 Imaging device
JP2008099329A (en) 2007-12-17 2008-04-24 Fujifilm Corp Solid-state imaging device and method for controlling the same
US8244058B1 (en) * 2008-05-30 2012-08-14 Adobe Systems Incorporated Method and apparatus for managing artifacts in frequency domain processing of light-field images
JP5152655B2 (en) * 2008-06-18 2013-02-27 株式会社リコー Imaging device
KR101441586B1 (en) 2008-10-06 2014-09-23 삼성전자 주식회사 Apparatus and method for capturing image
US8436909B2 (en) * 2008-10-21 2013-05-07 Stmicroelectronics S.R.L. Compound camera sensor and related method of processing digital images
US8315476B1 (en) * 2009-01-20 2012-11-20 Adobe Systems Incorporated Super-resolution with the focused plenoptic camera
US8218068B2 (en) 2009-04-01 2012-07-10 Omnivision Technologies, Inc. Exposing pixel groups in producing digital images
JP5278819B2 (en) 2009-05-11 2013-09-04 株式会社リコー Stereo camera device and vehicle exterior monitoring device using the same
US8345144B1 (en) 2009-07-15 2013-01-01 Adobe Systems Incorporated Methods and apparatus for rich image capture with focused plenoptic cameras
US8228417B1 (en) 2009-07-15 2012-07-24 Adobe Systems Incorporated Focused plenoptic camera employing different apertures or filtering at different microlenses
GB0912970D0 (en) 2009-07-27 2009-09-02 St Microelectronics Res & Dev Improvements in or relating to a sensor and sensor system for a camera
EP2502115A4 (en) 2009-11-20 2013-11-06 Pelican Imaging Corp Capturing and processing of images using monolithic camera array with heterogeneous imagers
KR101643607B1 (en) 2009-12-30 2016-08-10 삼성전자주식회사 Method and apparatus for generating of image data
US8817015B2 (en) 2010-03-03 2014-08-26 Adobe Systems Incorporated Methods, apparatus, and computer-readable storage media for depth-based rendering of focused plenoptic camera data
US20110242342A1 (en) 2010-04-05 2011-10-06 Qualcomm Incorporated Combining data from multiple image sensors
US8749694B2 (en) 2010-08-27 2014-06-10 Adobe Systems Incorporated Methods and apparatus for rendering focused plenoptic camera data using super-resolved demosaicing
US8724000B2 (en) 2010-08-27 2014-05-13 Adobe Systems Incorporated Methods and apparatus for super-resolution in integral photography
US20140192238A1 (en) 2010-10-24 2014-07-10 Linx Computational Imaging Ltd. System and Method for Imaging and Image Processing
US9532033B2 (en) 2010-11-29 2016-12-27 Nikon Corporation Image sensor and imaging device
US8605199B2 (en) 2011-06-28 2013-12-10 Canon Kabushiki Kaisha Adjustment of imaging properties for an imaging assembly having light-field optics
US9332239B2 (en) 2012-05-31 2016-05-03 Apple Inc. Systems and methods for RGB image processing
EP2677734A3 (en) 2012-06-18 2016-01-13 Sony Mobile Communications AB Array camera imaging system and method

Patent Citations (58)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4890905A (en) 1985-06-10 1990-01-02 U.S. Philips Corp. Replica lens and method of manufacturing same
US6115065A (en) 1995-11-07 2000-09-05 California Institute Of Technology Image sensor producing at least two integration times from each sensing pixel
US6809766B1 (en) 1998-03-11 2004-10-26 Micro Technology, Inc. Look ahead rolling shutter system in CMOS sensors
WO2000022566A1 (en) 1998-10-09 2000-04-20 Sarnoff Corporation Method and apparatus for extended depth of field imaging
JP2000152281A (en) 1998-11-09 2000-05-30 Sony Corp Image pickup device
US6980248B1 (en) * 1999-06-30 2005-12-27 Canon Kabushiki Kaisha Image pickup apparatus
US6773638B2 (en) 2000-07-19 2004-08-10 Koninklijke Philips Electronics N.V. Process of making a replica
EP1206126A2 (en) 2000-10-13 2002-05-15 Canon Kabushiki Kaisha Image pickup apparatus
US20020067416A1 (en) 2000-10-13 2002-06-06 Tomoya Yoneda Image pickup apparatus
US20050270395A1 (en) 2000-10-13 2005-12-08 Canon Kabushiki Kaisha Image pickup apparatus
US20020122124A1 (en) * 2000-10-25 2002-09-05 Yasuo Suda Image sensing apparatus and its control method, control program, and storage medium
US20040080661A1 (en) 2000-12-22 2004-04-29 Sven-Ake Afsenius Camera that combines the best focused parts from different exposures to an image
US20020089596A1 (en) 2000-12-28 2002-07-11 Yasuo Suda Image sensing apparatus
WO2003049035A2 (en) 2001-12-06 2003-06-12 Koninklijke Philips Electronics N.V. Method and apparatus for automatic face blurring
US20040047518A1 (en) 2002-08-28 2004-03-11 Carlo Tiana Image fusion system and method
WO2004021264A1 (en) 2002-08-28 2004-03-11 Bae Systems Aircraft Controls, Inc. Image fusion system and method
WO2004027880A2 (en) 2002-09-17 2004-04-01 Koninklijke Philips Electronics N.V. Camera device, method of manufacturing a camera device, wafer scale package
US7151259B2 (en) 2002-10-01 2006-12-19 Bayerische Motoren Werke Aktiengesellschaft Method for operating an optoelectronic sensor device
US20040109004A1 (en) 2002-12-09 2004-06-10 Bastos Rui M. Depth-of-field effects using texture lookup
JP2005109622A (en) 2003-09-29 2005-04-21 Minolta Co Ltd Multiple-lens imaging apparatus and mobile communication terminal
US20080219493A1 (en) 2004-03-30 2008-09-11 Yoav Tadmor Image Processing System
US20050225654A1 (en) 2004-04-08 2005-10-13 Digital Optics Corporation Thin color camera
JP2005303694A (en) 2004-04-13 2005-10-27 Konica Minolta Holdings Inc Compound eye imaging device
US20070211164A1 (en) 2004-08-25 2007-09-13 Olsen Richard I Imager module optical focus and assembly method
US20060108505A1 (en) 2004-11-19 2006-05-25 Gruhlke Russell W Imaging systems and methods
US20060193509A1 (en) 2005-02-25 2006-08-31 Microsoft Corporation Stereo-based image processing
WO2007005714A2 (en) 2005-07-01 2007-01-11 Newport Imaging Corporation Method and apparatus for use in camera and systems employing same
US20070258006A1 (en) 2005-08-25 2007-11-08 Olsen Richard I Solid state camera optics frame and assembly
JP2007158825A (en) 2005-12-06 2007-06-21 Ricoh Co Ltd Image input device
US20070153086A1 (en) 2005-12-16 2007-07-05 Hitachi, Ltd. Photographing apparatus
US20070189748A1 (en) 2006-02-14 2007-08-16 Fotonation Vision Limited Image Blurring
US20070177004A1 (en) 2006-06-08 2007-08-02 Timo Kolehmainen Image creating method and imaging device
US20080079839A1 (en) 2006-10-02 2008-04-03 Samsung Electronics Co., Ltd Multi-focal camera apparatus and methods and mediums for generating focus-free image and autofocus image using the multi-focal camera apparatus
WO2008085679A1 (en) 2007-01-11 2008-07-17 Raytheon Company Video camera system using multiple image sensors
WO2008087652A2 (en) 2007-01-21 2008-07-24 Prime Sense Ltd. Depth mapping using multi-beam illumination
US20080218611A1 (en) 2007-03-09 2008-09-11 Parulski Kenneth A Method and apparatus for operating a dual lens camera to augment an image
US20080240508A1 (en) 2007-03-26 2008-10-02 Funai Electric Co., Ltd. Motion Detection Imaging Device
US20080278610A1 (en) 2007-05-11 2008-11-13 Micron Technology, Inc. Configurable pixel array system and method
US20090103792A1 (en) 2007-10-22 2009-04-23 Visiongate, Inc. Depth of Field Extension for Optical Tomography
US20100127157A1 (en) 2008-02-18 2010-05-27 Panasonic Corporation Compound eye camera module
US20090262987A1 (en) 2008-03-31 2009-10-22 Google Inc. Automatic face detection and identity masking in images, and applications thereof
WO2009123278A1 (en) 2008-04-02 2009-10-08 シャープ株式会社 Imaging device and optical axis control method
WO2009151903A2 (en) 2008-05-20 2009-12-17 Pelican Imaging Corporation Capturing and processing of images using monolithic camera array with hetergeneous imagers
US20110080487A1 (en) 2008-05-20 2011-04-07 Pelican Imaging Corporation Capturing and processing of images using monolithic camera array with heterogeneous imagers
US20090321861A1 (en) 2008-06-26 2009-12-31 Micron Technology, Inc. Microelectronic imagers with stacked lens assemblies and processes for wafer-level packaging of microelectronic imagers
US20100021064A1 (en) 2008-07-23 2010-01-28 Samsung Digital Imaging Co., Ltd. Image processing method and apparatus, and digital photographing apparatus using the same
US20100039713A1 (en) 2008-08-15 2010-02-18 Ether Precision, Inc. Lens assembly and method of manufacture
US20100052192A1 (en) 2008-08-26 2010-03-04 Sharp Kabushiki Kaisha Electronic element wafer module and method for manufacturing electronic element wafer module, electronic element module and method for manufacturing electronic element module, and electronic information device
US20100117176A1 (en) 2008-11-11 2010-05-13 Oki Semiconductor Co., Ltd. Camera module and manufacturing method thereof
WO2010059182A1 (en) 2008-11-21 2010-05-27 Eastman Kodak Company Extended depth of field for image sensor
WO2010078563A1 (en) 2009-01-05 2010-07-08 Applied Quantum Technologies, Inc. Multiscale optical system using a lens array
US8259212B2 (en) * 2009-01-05 2012-09-04 Applied Quantum Technologies, Inc. Multiscale optical system
US20100259607A1 (en) 2009-04-09 2010-10-14 Raytheon Company Methods and apparatus for imaging
JP2011109484A (en) 2009-11-18 2011-06-02 Sharp Corp Multi-lens camera apparatus and electronic information device
US20110134282A1 (en) 2009-12-04 2011-06-09 Nobuhiro Morita Imaging device
EP2336816A2 (en) 2009-12-04 2011-06-22 Ricoh Company, Ltd. Imaging device
US20120007942A1 (en) 2010-07-06 2012-01-12 Tessera Technologies Ireland Limited Scene Background Blurring Including Determining A Depth Map
US20130321674A1 (en) * 2012-05-31 2013-12-05 Apple Inc. Image Signal Processing Involving Geometric Distortion Correction

Non-Patent Citations (13)

* Cited by examiner, † Cited by third party
Title
Horisaki, R. et al., "A Compound-Eye Imaging System with Irregular Lens-Array Arrangement," Proceedings of SPIE, Optics and Photonics for Information Processing II, Awwal, A.A.S. et al. (eds.), Aug. 13-14, 2008, pp. 70720G1-70720G-9, vol. 7072.
Horstmeyer, R. et al., "Flexible Multimodal Camera Using a Light Field Architecture," 2009 IEEE International Conference on Computational Photography (ICCP2009), IEEE, Apr. 16, 2009, pp. 1-8.
Mirotznik, M. et al., "A Practical Enhanced-Resolution Integrated Optical-Digital Imaging Camera," Proceedings of SPIE, Modeling and Simulation for Military Operations IV, Trevisani, D.A. (ed.), Jan. 2009, pp. 743806-1-743806-9, vol. 7348.
PCT International Search Report, PCT Application No. PCT/NL2011/050722, Apr. 16, 2012, 7 pages.
PCT International Search Report, PCT Application No. PCT/NL2011/050723, Apr. 20, 2012, 6 pages.
PCT International Search Report, PCT Application No. PCT/NL2011/050724, Feb. 6, 2012, 4 pages.
PCT International Search Report, PCT Application No. PCT/NL2011/050725, Feb. 1, 2012, 4 pages.
PCT International Search Report, PCT Application No. PCT/US2011/050726, Mar. 29, 2012, 6 pages.
PCT Written Opinion, PCT Application No. PCT/NL2011/050722, Apr. 16, 2012, 14 pages.
PCT Written Opinion, PCT Application No. PCT/NL2011/050723, Apr. 20, 2012, 12 pages.
PCT Written Opinion, PCT Application No. PCT/NL2011/050724, Feb. 6, 2012, 5 pages.
PCT Written Opinion, PCT Application No. PCT/NL2011/050725, Feb. 1, 2012, 10 pages.
PCT Written Opinion, PCT Application No. PCT/US2011/050726, Mar. 29, 2012, 10 pages.

Cited By (149)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
USRE48477E1 (en) 2012-11-28 2021-03-16 Corephotonics Ltd High resolution thin multi-aperture imaging systems
USRE48444E1 (en) 2012-11-28 2021-02-16 Corephotonics Ltd. High resolution thin multi-aperture imaging systems
USRE49256E1 (en) 2012-11-28 2022-10-18 Corephotonics Ltd. High resolution thin multi-aperture imaging systems
USRE48945E1 (en) 2012-11-28 2022-02-22 Corephotonics Ltd. High resolution thin multi-aperture imaging systems
USRE48697E1 (en) 2012-11-28 2021-08-17 Corephotonics Ltd. High resolution thin multi-aperture imaging systems
US11838635B2 (en) 2013-06-13 2023-12-05 Corephotonics Ltd. Dual aperture zoom digital camera
US11470257B2 (en) 2013-06-13 2022-10-11 Corephotonics Ltd. Dual aperture zoom digital camera
US10225479B2 (en) 2013-06-13 2019-03-05 Corephotonics Ltd. Dual aperture zoom digital camera
US10841500B2 (en) 2013-06-13 2020-11-17 Corephotonics Ltd. Dual aperture zoom digital camera
US12069371B2 (en) 2013-06-13 2024-08-20 Corephotonics Lid. Dual aperture zoom digital camera
US10904444B2 (en) 2013-06-13 2021-01-26 Corephotonics Ltd. Dual aperture zoom digital camera
US10326942B2 (en) 2013-06-13 2019-06-18 Corephotonics Ltd. Dual aperture zoom digital camera
US10288896B2 (en) 2013-07-04 2019-05-14 Corephotonics Ltd. Thin dual-aperture zoom digital camera
US11614635B2 (en) 2013-07-04 2023-03-28 Corephotonics Ltd. Thin dual-aperture zoom digital camera
US11852845B2 (en) 2013-07-04 2023-12-26 Corephotonics Ltd. Thin dual-aperture zoom digital camera
US11287668B2 (en) 2013-07-04 2022-03-29 Corephotonics Ltd. Thin dual-aperture zoom digital camera
US10620450B2 (en) 2013-07-04 2020-04-14 Corephotonics Ltd Thin dual-aperture zoom digital camera
US10250797B2 (en) 2013-08-01 2019-04-02 Corephotonics Ltd. Thin multi-aperture imaging system with auto-focus and methods for using same
US11856291B2 (en) 2013-08-01 2023-12-26 Corephotonics Ltd. Thin multi-aperture imaging system with auto-focus and methods for using same
US10469735B2 (en) 2013-08-01 2019-11-05 Corephotonics Ltd. Thin multi-aperture imaging system with auto-focus and methods for using same
US11716535B2 (en) 2013-08-01 2023-08-01 Corephotonics Ltd. Thin multi-aperture imaging system with auto-focus and methods for using same
US12114068B2 (en) 2013-08-01 2024-10-08 Corephotonics Ltd. Thin multi-aperture imaging system with auto-focus and methods for using same
US11991444B2 (en) 2013-08-01 2024-05-21 Corephotonics Ltd. Thin multi-aperture imaging system with auto-focus and methods for using same
US10694094B2 (en) 2013-08-01 2020-06-23 Corephotonics Ltd. Thin multi-aperture imaging system with auto-focus and methods for using same
US11470235B2 (en) 2013-08-01 2022-10-11 Corephotonics Ltd. Thin multi-aperture imaging system with autofocus and methods for using same
US12007537B2 (en) 2014-08-10 2024-06-11 Corephotonics Lid. Zoom dual-aperture camera with folded lens
US10156706B2 (en) 2014-08-10 2018-12-18 Corephotonics Ltd. Zoom dual-aperture camera with folded lens
US12105268B2 (en) 2014-08-10 2024-10-01 Corephotonics Ltd. Zoom dual-aperture camera with folded lens
US10976527B2 (en) 2014-08-10 2021-04-13 Corephotonics Ltd. Zoom dual-aperture camera with folded lens
US10571665B2 (en) 2014-08-10 2020-02-25 Corephotonics Ltd. Zoom dual-aperture camera with folded lens
US11262559B2 (en) 2014-08-10 2022-03-01 Corephotonics Ltd Zoom dual-aperture camera with folded lens
US11002947B2 (en) 2014-08-10 2021-05-11 Corephotonics Ltd. Zoom dual-aperture camera with folded lens
US11042011B2 (en) 2014-08-10 2021-06-22 Corephotonics Ltd. Zoom dual-aperture camera with folded lens
US11543633B2 (en) 2014-08-10 2023-01-03 Corephotonics Ltd. Zoom dual-aperture camera with folded lens
US11703668B2 (en) 2014-08-10 2023-07-18 Corephotonics Ltd. Zoom dual-aperture camera with folded lens
US10509209B2 (en) 2014-08-10 2019-12-17 Corephotonics Ltd. Zoom dual-aperture camera with folded lens
US11982796B2 (en) 2014-08-10 2024-05-14 Corephotonics Ltd. Zoom dual-aperture camera with folded lens
US11994654B2 (en) 2015-01-03 2024-05-28 Corephotonics Ltd. Miniature telephoto lens module and a camera utilizing such a lens module
US10288840B2 (en) 2015-01-03 2019-05-14 Corephotonics Ltd Miniature telephoto lens module and a camera utilizing such a lens module
US11125975B2 (en) 2015-01-03 2021-09-21 Corephotonics Ltd. Miniature telephoto lens module and a camera utilizing such a lens module
US10558058B2 (en) 2015-04-02 2020-02-11 Corephontonics Ltd. Dual voice coil motor structure in a dual-optical module camera
US10288897B2 (en) 2015-04-02 2019-05-14 Corephotonics Ltd. Dual voice coil motor structure in a dual-optical module camera
US12105267B2 (en) 2015-04-16 2024-10-01 Corephotonics Ltd. Auto focus and optical image stabilization in a compact folded camera
US10656396B1 (en) 2015-04-16 2020-05-19 Corephotonics Ltd. Auto focus and optical image stabilization in a compact folded camera
US11808925B2 (en) 2015-04-16 2023-11-07 Corephotonics Ltd. Auto focus and optical image stabilization in a compact folded camera
US10459205B2 (en) 2015-04-16 2019-10-29 Corephotonics Ltd Auto focus and optical image stabilization in a compact folded camera
US10571666B2 (en) 2015-04-16 2020-02-25 Corephotonics Ltd. Auto focus and optical image stabilization in a compact folded camera
US10371928B2 (en) 2015-04-16 2019-08-06 Corephotonics Ltd Auto focus and optical image stabilization in a compact folded camera
US10613303B2 (en) 2015-04-16 2020-04-07 Corephotonics Ltd. Auto focus and optical image stabilization in a compact folded camera
US10962746B2 (en) 2015-04-16 2021-03-30 Corephotonics Ltd. Auto focus and optical image stabilization in a compact folded camera
US10670879B2 (en) 2015-05-28 2020-06-02 Corephotonics Ltd. Bi-directional stiffness for optical image stabilization in a dual-aperture digital camera
US10379371B2 (en) 2015-05-28 2019-08-13 Corephotonics Ltd Bi-directional stiffness for optical image stabilization in a dual-aperture digital camera
US11770616B2 (en) 2015-08-13 2023-09-26 Corephotonics Ltd. Dual aperture zoom camera with video support and switching / non-switching dynamic control
US10356332B2 (en) 2015-08-13 2019-07-16 Corephotonics Ltd. Dual aperture zoom camera with video support and switching / non-switching dynamic control
US10917576B2 (en) 2015-08-13 2021-02-09 Corephotonics Ltd. Dual aperture zoom camera with video support and switching / non-switching dynamic control
US12022196B2 (en) 2015-08-13 2024-06-25 Corephotonics Ltd. Dual aperture zoom camera with video support and switching / non-switching dynamic control
US10230898B2 (en) 2015-08-13 2019-03-12 Corephotonics Ltd. Dual aperture zoom camera with video support and switching / non-switching dynamic control
US10567666B2 (en) 2015-08-13 2020-02-18 Corephotonics Ltd. Dual aperture zoom camera with video support and switching / non-switching dynamic control
US11350038B2 (en) 2015-08-13 2022-05-31 Corephotonics Ltd. Dual aperture zoom camera with video support and switching / non-switching dynamic control
US11546518B2 (en) 2015-08-13 2023-01-03 Corephotonics Ltd. Dual aperture zoom camera with video support and switching / non-switching dynamic control
US11756163B2 (en) 2015-09-02 2023-09-12 Apple Inc. Detecting keypoints in image data
US10909408B2 (en) 2015-09-02 2021-02-02 Apple Inc. Detecting keypoints in image data
US9754182B2 (en) 2015-09-02 2017-09-05 Apple Inc. Detecting keypoints in image data
US10284780B2 (en) 2015-09-06 2019-05-07 Corephotonics Ltd. Auto focus and optical image stabilization with roll compensation in a compact folded camera
US10498961B2 (en) 2015-09-06 2019-12-03 Corephotonics Ltd. Auto focus and optical image stabilization with roll compensation in a compact folded camera
US10078196B2 (en) 2015-09-17 2018-09-18 Samsung Electronics Co., Ltd. Camera module including multi-lens and electronic device having the same
US11599007B2 (en) 2015-12-29 2023-03-07 Corephotonics Ltd. Dual-aperture zoom digital camera with automatic adjustable tele field of view
US10935870B2 (en) 2015-12-29 2021-03-02 Corephotonics Ltd. Dual-aperture zoom digital camera with automatic adjustable tele field of view
US11726388B2 (en) 2015-12-29 2023-08-15 Corephotonics Ltd. Dual-aperture zoom digital camera with automatic adjustable tele field of view
US11314146B2 (en) 2015-12-29 2022-04-26 Corephotonics Ltd. Dual-aperture zoom digital camera with automatic adjustable tele field of view
US10578948B2 (en) 2015-12-29 2020-03-03 Corephotonics Ltd. Dual-aperture zoom digital camera with automatic adjustable tele field of view
US11392009B2 (en) 2015-12-29 2022-07-19 Corephotonics Ltd. Dual-aperture zoom digital camera with automatic adjustable tele field of view
US11650400B2 (en) 2016-05-30 2023-05-16 Corephotonics Ltd. Rotational ball-guided voice coil motor
US11977210B2 (en) 2016-05-30 2024-05-07 Corephotonics Ltd. Rotational ball-guided voice coil motor
US10488631B2 (en) 2016-05-30 2019-11-26 Corephotonics Ltd. Rotational ball-guided voice coil motor
US11689803B2 (en) 2016-06-19 2023-06-27 Corephotonics Ltd. Frame synchronization in a dual-aperture camera system
US10616484B2 (en) 2016-06-19 2020-04-07 Corephotonics Ltd. Frame syncrhonization in a dual-aperture camera system
US11172127B2 (en) 2016-06-19 2021-11-09 Corephotonics Ltd. Frame synchronization in a dual-aperture camera system
US11977270B2 (en) 2016-07-07 2024-05-07 Corephotonics Lid. Linear ball guided voice coil motor for folded optic
US10706518B2 (en) 2016-07-07 2020-07-07 Corephotonics Ltd. Dual camera system with improved video smooth transition by image blending
US11048060B2 (en) 2016-07-07 2021-06-29 Corephotonics Ltd. Linear ball guided voice coil motor for folded optic
US11550119B2 (en) 2016-07-07 2023-01-10 Corephotonics Ltd. Linear ball guided voice coil motor for folded optic
US10845565B2 (en) 2016-07-07 2020-11-24 Corephotonics Ltd. Linear ball guided voice coil motor for folded optic
US12092841B2 (en) 2016-12-28 2024-09-17 Corephotonics Ltd. Folded camera structure with an extended light-folding-element scanning range
US11531209B2 (en) 2016-12-28 2022-12-20 Corephotonics Ltd. Folded camera structure with an extended light-folding-element scanning range
US11809065B2 (en) 2017-01-12 2023-11-07 Corephotonics Ltd. Compact folded camera
US12038671B2 (en) 2017-01-12 2024-07-16 Corephotonics Ltd. Compact folded camera
US11815790B2 (en) 2017-01-12 2023-11-14 Corephotonics Ltd. Compact folded camera
US11693297B2 (en) 2017-01-12 2023-07-04 Corephotonics Ltd. Compact folded camera
US10884321B2 (en) 2017-01-12 2021-01-05 Corephotonics Ltd. Compact folded camera
US10571644B2 (en) 2017-02-23 2020-02-25 Corephotonics Ltd. Folded camera lens designs
US10534153B2 (en) 2017-02-23 2020-01-14 Corephotonics Ltd. Folded camera lens designs
US10670827B2 (en) 2017-02-23 2020-06-02 Corephotonics Ltd. Folded camera lens designs
US10645286B2 (en) 2017-03-15 2020-05-05 Corephotonics Ltd. Camera with panoramic scanning range
US11671711B2 (en) 2017-03-15 2023-06-06 Corephotonics Ltd. Imaging system with panoramic scanning range
US10051201B1 (en) 2017-03-20 2018-08-14 Google Llc Camera system including lens with magnification gradient
US10341579B2 (en) 2017-03-20 2019-07-02 Google Llc Camera system including lens with magnification gradient
US10904512B2 (en) 2017-09-06 2021-01-26 Corephotonics Ltd. Combined stereoscopic and phase detection depth mapping in a dual aperture camera
US11695896B2 (en) 2017-10-03 2023-07-04 Corephotonics Ltd. Synthetically enlarged camera aperture
US10951834B2 (en) 2017-10-03 2021-03-16 Corephotonics Ltd. Synthetically enlarged camera aperture
US12007672B2 (en) 2017-11-23 2024-06-11 Corephotonics Ltd. Compact folded camera structure
US11333955B2 (en) 2017-11-23 2022-05-17 Corephotonics Ltd. Compact folded camera structure
US11619864B2 (en) 2017-11-23 2023-04-04 Corephotonics Ltd. Compact folded camera structure
US11809066B2 (en) 2017-11-23 2023-11-07 Corephotonics Ltd. Compact folded camera structure
US10976567B2 (en) 2018-02-05 2021-04-13 Corephotonics Ltd. Reduced height penalty for folded camera
US12007582B2 (en) 2018-02-05 2024-06-11 Corephotonics Ltd. Reduced height penalty for folded camera
US11686952B2 (en) 2018-02-05 2023-06-27 Corephotonics Ltd. Reduced height penalty for folded camera
US11640047B2 (en) 2018-02-12 2023-05-02 Corephotonics Ltd. Folded camera with optical image stabilization
US10694168B2 (en) 2018-04-22 2020-06-23 Corephotonics Ltd. System and method for mitigating or preventing eye damage from structured light IR/NIR projector systems
US10911740B2 (en) 2018-04-22 2021-02-02 Corephotonics Ltd. System and method for mitigating or preventing eye damage from structured light IR/NIR projector systems
US11268829B2 (en) 2018-04-23 2022-03-08 Corephotonics Ltd Optical-path folding-element with an extended two degree of freedom rotation range
US11268830B2 (en) 2018-04-23 2022-03-08 Corephotonics Ltd Optical-path folding-element with an extended two degree of freedom rotation range
US12085421B2 (en) 2018-04-23 2024-09-10 Corephotonics Ltd. Optical-path folding-element with an extended two degree of freedom rotation range
US11733064B1 (en) 2018-04-23 2023-08-22 Corephotonics Ltd. Optical-path folding-element with an extended two degree of freedom rotation range
US11976949B2 (en) 2018-04-23 2024-05-07 Corephotonics Lid. Optical-path folding-element with an extended two degree of freedom rotation range
US11867535B2 (en) 2018-04-23 2024-01-09 Corephotonics Ltd. Optical-path folding-element with an extended two degree of freedom rotation range
US11359937B2 (en) 2018-04-23 2022-06-14 Corephotonics Ltd. Optical-path folding-element with an extended two degree of freedom rotation range
US11363180B2 (en) 2018-08-04 2022-06-14 Corephotonics Ltd. Switchable continuous display information system above camera
US11852790B2 (en) 2018-08-22 2023-12-26 Corephotonics Ltd. Two-state zoom folded camera
US11635596B2 (en) 2018-08-22 2023-04-25 Corephotonics Ltd. Two-state zoom folded camera
US11375092B2 (en) 2018-10-04 2022-06-28 Samsung Electronics Co., Ltd. Image sensor and image sensing method
US10924667B2 (en) 2018-10-04 2021-02-16 Samsung Electronics Co., Ltd. Image sensor and image sensing method
US12025260B2 (en) 2019-01-07 2024-07-02 Corephotonics Ltd. Rotation mechanism with sliding joint
US11287081B2 (en) 2019-01-07 2022-03-29 Corephotonics Ltd. Rotation mechanism with sliding joint
US11315276B2 (en) 2019-03-09 2022-04-26 Corephotonics Ltd. System and method for dynamic stereoscopic calibration
US11527006B2 (en) 2019-03-09 2022-12-13 Corephotonics Ltd. System and method for dynamic stereoscopic calibration
US11368631B1 (en) 2019-07-31 2022-06-21 Corephotonics Ltd. System and method for creating background blur in camera panning or motion
US11659135B2 (en) 2019-10-30 2023-05-23 Corephotonics Ltd. Slow or fast motion video using depth information
US11770618B2 (en) 2019-12-09 2023-09-26 Corephotonics Ltd. Systems and methods for obtaining a smart panoramic image
US11949976B2 (en) 2019-12-09 2024-04-02 Corephotonics Ltd. Systems and methods for obtaining a smart panoramic image
US12075151B2 (en) 2019-12-09 2024-08-27 Corephotonics Ltd. Systems and methods for obtaining a smart panoramic image
US12007668B2 (en) 2020-02-22 2024-06-11 Corephotonics Ltd. Split screen feature for macro photography
US11693064B2 (en) 2020-04-26 2023-07-04 Corephotonics Ltd. Temperature control for Hall bar sensor correction
US11832018B2 (en) 2020-05-17 2023-11-28 Corephotonics Ltd. Image stitching in the presence of a full field of view reference image
US12096150B2 (en) 2020-05-17 2024-09-17 Corephotonics Ltd. Image stitching in the presence of a full field of view reference image
US11770609B2 (en) 2020-05-30 2023-09-26 Corephotonics Ltd. Systems and methods for obtaining a super macro image
US11962901B2 (en) 2020-05-30 2024-04-16 Corephotonics Ltd. Systems and methods for obtaining a super macro image
US11637977B2 (en) 2020-07-15 2023-04-25 Corephotonics Ltd. Image sensors and sensing methods to obtain time-of-flight and phase detection information
US12003874B2 (en) 2020-07-15 2024-06-04 Corephotonics Ltd. Image sensors and sensing methods to obtain Time-of-Flight and phase detection information
US11832008B2 (en) 2020-07-15 2023-11-28 Corephotonics Ltd. Image sensors and sensing methods to obtain time-of-flight and phase detection information
US11910089B2 (en) 2020-07-15 2024-02-20 Corephotonics Lid. Point of view aberrations correction in a scanning folded camera
US12108151B2 (en) 2020-07-15 2024-10-01 Corephotonics Ltd. Point of view aberrations correction in a scanning folded camera
WO2022019908A1 (en) * 2020-07-22 2022-01-27 EyeQue Inc. Method and apparatus for refraction and vision measurement
US11946775B2 (en) 2020-07-31 2024-04-02 Corephotonics Ltd. Hall sensor—magnet geometry for large stroke linear position sensing
US11968453B2 (en) 2020-08-12 2024-04-23 Corephotonics Ltd. Optical image stabilization in a scanning folded camera
US12101575B2 (en) 2020-12-26 2024-09-24 Corephotonics Ltd. Video support in a multi-aperture mobile camera with a scanning zoom camera
US12081856B2 (en) 2021-03-11 2024-09-03 Corephotonics Lid. Systems for pop-out camera
US12007671B2 (en) 2021-06-08 2024-06-11 Corephotonics Ltd. Systems and cameras for tilting a focal plane of a super-macro image
US12124106B2 (en) 2024-04-04 2024-10-22 Corephotonics Ltd. Linear ball guided voice coil motor for folded optic

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